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The rapid advancement of Large Language Models (LLMs) has opened up new opportunities for leveraging artificial intelligence in a variety of application domains, including cybersecurity.
Parameter-Efficient Transfer Learning for NLP
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Autonomous Penetration Testing using Reinforcement Learning
Jonathon Schwartz and Hanna Kurniawati. 2019 · 1905
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How to Fine-Tune BERT for Text Classification?
Chi Sun, Xipeng Qiu, Yige Xu, and Xuanjing Huang. 2020 · 1905
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RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer. 2019 · 1910
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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2023 · 1910
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DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf. 2020 · 1910
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How Can We Know What Language Models Know?
Zhengbao Jiang, Frank F. Xu, Jun Araki, and Graham Neubig. 2020 · 1911
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VulAdvisor: Natural Language Suggestion Generation for Software Vulnerability Repair. In Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering (Sacramento, CA, USA) (ASE ’24) . Association for Computing Machinery, New York, NY, USA, 1932–1944
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Access control: principle and practice
R.S. Sandhu and P. Samarati. 1994 · 1994
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On the limits of steganography
Ross J Anderson and Fabien AP Petitcolas. 1998 · 1998
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Scaling Laws for Neural Language Models
Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B. Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei. 2020 · 2001
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A Simple Framework for Contrastive Learning of Visual Representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020 · 2002
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Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping
Jesse Dodge, Gabriel Ilharco, Roy Schwartz, Ali Farhadi, Hannaneh Hajishirzi, and Noah Smith. 2020 · 2002
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CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, and Ming Zhou. 2020 · 2002
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Language Models are Few-Shot Learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2005
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DeBERTa: Decoding-enhanced BERT with Disentangled Attention
Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen. 2021 · 2006
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Learning from Few Samples: A Survey
Nihar Bendre, Hugo Terashima Marín, and Peyman Najafirad. 2020 · 2007
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Mapping process of digital forensic investigation framework
Siti Rahayu Selamat, Robiah Yusof, and Shahrin Sahib. 2008 · 2008
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Modern cryptanalysis: techniques for advanced code breaking
Christopher Swenson. 2008 · 2008
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GraphCodeBERT: Pre-training Code Representations with Data Flow
Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, and Ming Zhou. 2021 · 2009
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Systematic literature reviews in software engineering–a systematic literature review
Barbara Kitchenham, O Pearl Brereton, David Budgen, Mark Turner, John Bailey, and Stephen Linkman. 2009 · 2009
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One-Time-Password-Authenticated Key Exchange. In Information Security and Privacy , Ron Steinfeld and Philip Hawkes (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 264–281
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Identifying relevant studies in software engineering
He Zhang, Muhammad Ali Babar, and Paolo Tell. 2011 · 2011
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A Study on Advanced Persistent Threats. In Communications and Multimedia Security , Bart De Decker and André Zúquete (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 63–72
Ping Chen, Lieven Desmet, and Christophe Huygens. 2014 · 2014
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UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set). In 2015 Military Communications and Information Systems Conference (MilCIS) . 1–6
Nour Moustafa and Jill Slay. 2015 · 2015
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Guidelines for conducting systematic mapping studies in software engineering: An update
Kai Petersen, Sairam Vakkalanka, and Ludwik Kuzniarz. 2015 · 2015
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Towards practical whitebox cryptography: optimizing efficiency and space hardness. In International Conference on the Theory and Application of Cryptology and Information Security . Springer, 126–158
Andrey Bogdanov, Takanori Isobe, and Elmar Tischhauser. 2016 · 2016
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A Dynamic Rule Creation Based Anomaly Detection Method for Identifying Security Breaches in Log Records
Breier Jakub and Jana Branišová. 2017 · 2017
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A Large-Scale Empirical Study of Security Patches. In Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security (Dallas, Texas, USA) (CCS ’17) . Association for Computing Machinery, New York, NY, USA, 2201–2215
Frank Li and Vern Paxson. 2017 · 2017
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An Introduction to Deep Reinforcement Learning
Vincent François-Lavet, Peter Henderson, Riashat Islam, Marc G. Bellemare, and Joelle Pineau. 2018 · 2018
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Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection
Yisroel Mirsky, Tomer Doitshman, Yuval Elovici, and Asaf Shabtai. 2018 · 2018
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Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever, et al · 2018
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Sereum: Protecting Existing Smart Contracts Against Re-Entrancy Attacks
Michael Rodler, Wenting Li, Ghassan O. Karame, and Lucas Davi. 2018 · 2018
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Hardfails: insights into software-exploitable hardware bugs. In Proceedings of the 28th USENIX Conference on Security Symposium (Santa Clara, CA, USA) (SEC’19) . USENIX Association, USA, 213–230
Ghada Dessouky, David Gens, Patrick Haney, Garrett Persyn, Arun Kanuparthi, Hareesh Khattri, Jason M. Fung, Ahmad-Reza Sadeghi, and Jeyavijayan Rajendran. 2019 · 2019
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019
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Improving Neural Language Modeling via Adversarial Training. In Proceedings of the 36th International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 97) , Kamalika Chaudhuri and Ruslan Salakhutdinov (Eds.). PMLR, 6555–6565
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An overview on smart contracts: Challenges, advances and platforms
Zibin Zheng, Shaoan Xie, Hong-Ning Dai, Weili Chen, Xiangping Chen, Jian Weng, and Muhammad Imran. 2020 · 2019
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Fuzzing: Challenges and Reflections
Marcel Boehme, Cristian Cadar, and Abhik ROYCHOUDHURY. 2021 · 2020
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DeepSQLi: deep semantic learning for testing SQL injection. In Proceedings of the 29th ACM SIGSOFT International Symposium on Software Testing and Analysis (Virtual Event, USA) (ISSTA 2020) . Association for Computing Machinery, New York, NY, USA, 286–297
Muyang Liu, Ke Li, and Tao Chen. 2020a · 2020
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CharBERT: Character-aware Pre-trained Language Model. In Proceedings of the 28th International Conference on Computational Linguistics . International Committee on Computational Linguistics
Wentao Ma, Yiming Cui, Chenglei Si, Ting Liu, Shijin Wang, and Guoping Hu. 2020 · 2020
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Zero-Shot Learning – A Comprehensive Evaluation of the Good, the Bad and the Ugly
Yongqin Xian, Christoph H. Lampert, Bernt Schiele, and Zeynep Akata. 2020 · 2020
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Unified Pre-training for Program Understanding and Generation
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, and Kai-Wei Chang. 2021 · 2021
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GPT-Neo: Large Scale Autoregressive Language Modeling with Mesh-Tensorflow
Sid Black, Leo Gao, Phil Wang, Connor Leahy, and Stella Biderman. 2021 · 2021
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Extracting training data from large language models. In 30th USENIX security symposium (USENIX Security 21) . 2633–2650
Nicholas Carlini, Florian Tramer, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom Brown, Dawn Song, Ulfar Erlingsson, et al · 2021
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Evaluating Large Language Models Trained on Code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William Hebgen Guss, Alex Nichol, Alex Paino, Nikolas Tezak, Jie Tang, Igor Babuschkin, Suchir Balaji, Shantanu Jain, William Saunders, Christopher Hesse, Andrew N. Carr, Jan Leike, Josh Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, and Wojciech Zaremba. 2021 · 2021
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LoRA: Low-Rank Adaptation of Large Language Models
Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021 · 2021
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The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester, Rami Al-Rfou, and Noah Constant. 2021 · 2021
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Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig. 2021 · 2021
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Web Application Attacks Detection Using Deep Learning. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications , João Manuel R. S. Tavares, João Paulo Papa, and Manuel González Hidalgo (Eds.). Springer International Publishing, Cham, 227–236
Nicolás Montes, Gustavo Betarte, Rodrigo Martínez, and Alvaro Pardo. 2021 · 2021
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Generating Fake Cyber Threat Intelligence Using Transformer-Based Models. In 2021 International Joint Conference on Neural Networks (IJCNN) . 1–9
Priyanka Ranade, Aritran Piplai, Sudip Mittal, Anupam Joshi, and Tim Finin. 2021 · 2021
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Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning
Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, and Kwang-Ting Cheng. 2021 · 2021
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webFuzz: Grey-Box Fuzzing for Web Applications. In Computer Security – ESORICS 2021 , Elisa Bertino, Haya Shulman, and Michael Waidner (Eds.). Springer International Publishing, Cham, 152–172
Orpheas van Rooij, Marcos Antonios Charalambous, Demetris Kaizer, Michalis Papaevripides, and Elias Athanasopoulos. 2021 · 2021
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Yue Wang, Weishi Wang, Shafiq Joty, and Steven C. H. Hoi. 2021 · 2021
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DeFiRanger: Detecting Price Manipulation Attacks on DeFi Applications
Siwei Wu, Dabao Wang, Jianting He, Yajin Zhou, Lei Wu, Xingliang Yuan, Qinming He, and Kui Ren. 2021 · 2021
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Research on third-party libraries in android apps: A taxonomy and systematic literature review
Xian Zhan, Tianming Liu, Lingling Fan, Li Li, Sen Chen, Xiapu Luo, and Yang Liu. 2021 · 2021
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CAN-BERT do it? Controller Area Network Intrusion Detection System based on BERT Language Model. In 2022 IEEE/ACS 19th International Conference on Computer Systems and Applications (AICCSA) . 1–8
Natasha Alkhatib, Maria Mushtaq, Hadi Ghauch, and Jean-Luc Danger. 2022 · 2022
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National vulnerability database
M Anon. 2022 · 2022
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Constitutional AI: Harmlessness from AI Feedback
Yuntao Bai, Saurav Kadavath, Sandipan Kundu, Amanda Askell, Jackson Kernion, Andy Jones, Anna Chen, Anna Goldie, Azalia Mirhoseini, Cameron McKinnon, Carol Chen, Catherine Olsson, Christopher Olah, Danny Hernandez, Dawn Drain, Deep Ganguli, Dustin Li, Eli Tran-Johnson, Ethan Perez, Jamie Kerr, Jared Mueller, Jeffrey Ladish, Joshua Landau, Kamal Ndousse, Kamile Lukosuite, Liane Lovitt, Michael Sellitto, Nelson Elhage, Nicholas Schiefer, Noemi Mercado, Nova DasSarma, Robert Lasenby, Robin Larson, Sam Ringer, Scott Johnston, Shauna Kravec, Sheer El Showk, Stanislav Fort, Tamera Lanham, Timothy Telleen-Lawton, Tom Conerly, Tom Henighan, Tristan Hume, Samuel R. Bowman, Zac Hatfield-Dodds, Ben Mann, Dario Amodei, Nicholas Joseph, Sam McCandlish, Tom Brown, and Jared Kaplan. 2022 · 2022
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Luke A. Bauer, James K. Howes IV au2, Sam A. Markelon, Vincent Bindschaedler, and Thomas Shrimpton. 2022 · 2022
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PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, and Noah Fiedel. 2022 · 2022
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Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
William Fedus, Barret Zoph, and Noam Shazeer. 2022 · 2022
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VulRepair: a T5-based automated software vulnerability repair. In Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (<conf-loc>, <city>Singapore</city>, <country>Singapore</country>, </conf-loc>) (ESEC/FSE 2022) . Association for Computing Machinery, New York, NY, USA, 935–947
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ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , Smaranda Muresan, Preslav Nakov, and Aline Villavicencio (Eds.). Association for Computational Linguistics, Dublin, Ireland, 3309–3326
Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, and Ece Kamar. 2022 · 2022
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Training Compute-Optimal Large Language Models
Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, Tom Hennigan, Eric Noland, Katie Millican, George van den Driessche, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karen Simonyan, Erich Elsen, Jack W. Rae, Oriol Vinyals, and Laurent Sifre. 2022 · 2022
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Language Models (Mostly) Know What They Know
Saurav Kadavath, Tom Conerly, Amanda Askell, Tom Henighan, Dawn Drain, Ethan Perez, Nicholas Schiefer, Zac Hatfield-Dodds, Nova DasSarma, Eli Tran-Johnson, Scott Johnston, Sheer El-Showk, Andy Jones, Nelson Elhage, Tristan Hume, Anna Chen, Yuntao Bai, Sam Bowman, Stanislav Fort, Deep Ganguli, Danny Hernandez, Josh Jacobson, Jackson Kernion, Shauna Kravec, Liane Lovitt, Kamal Ndousse, Catherine Olsson, Sam Ringer, Dario Amodei, Tom Brown, Jack Clark, Nicholas Joseph, Ben Mann, Sam McCandlish, Chris Olah, and Jared Kaplan. 2022 · 2022
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Deduplicating Training Data Makes Language Models Better
Katherine Lee, Daphne Ippolito, Andrew Nystrom, Chiyuan Zhang, Douglas Eck, Chris Callison-Burch, and Nicholas Carlini. 2022 · 2022
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Large Language Models Can Be Strong Differentially Private Learners
Xuechen Li, Florian Tramèr, Percy Liang, and Tatsunori Hashimoto. 2022 · 2022
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An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing , Yoav Goldberg, Zornitsa Kozareva, and Yue Zhang (Eds.). Association for Computational Linguistics, Abu Dhabi, United Arab Emirates, 1816–1826
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Overfitting, model tuning, and evaluation of prediction performance
Osval Antonio Montesinos López, Abelardo Montesinos López, and Jose Crossa. 2022 · 2022
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Modelling direct messaging networks with multiple recipients for cyber deception. In 2022 IEEE 7th European Symposium on Security and Privacy (EuroS&P) . 1–19
Kristen Moore, Cody James Christopher, David Liebowitz, Surya Nepal, and Renee Selvey. 2022 · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul Christiano, Jan Leike, and Ryan Lowe. 2022 · 2022
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Pop Quiz! Can a Large Language Model Help With Reverse Engineering?
Hammond Pearce, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, and Brendan Dolan-Gavitt. 2022 · 2022
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BinMLM: Binary Authorship Verification with Flow-aware Mixture-of-Shared Language Model. In 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) . 1023–1033
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On the Importance of Building High-quality Training Datasets for Neural Code Search
Zhensu Sun, Li Li, Yan Liu, Xiaoning Du, and Li Li. 2022 · 2022
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Clues in Tweets: Twitter-Guided Discovery and Analysis of SMS Spam
Siyuan Tang, Xianghang Mi, Ying Li, XiaoFeng Wang, and Kai Chen. 2022 · 2022
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Transformer-Based Language Models for Software Vulnerability Detection. In Proceedings of the 38th Annual Computer Security Applications Conference (<conf-loc>, <city>Austin</city>, <state>TX</state>, <country>USA</country>, </conf-loc>) (ACSAC ’22) . Association for Computing Machinery, New York, NY, USA, 481–496
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Most users do not follow political elites on Twitter; those who do show overwhelming preferences for ideological congruity
Magdalena Wojcieszak, Andreu Casas, Xudong Yu, Jonathan Nagler, and Joshua A. Tucker. 2022 · 2022
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Less training, more repairing please: revisiting automated program repair via zero-shot learning. In Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (<conf-loc>, <city>Singapore</city>, <country>Singapore</country>, </conf-loc>) (ESEC/FSE 2022) . Association for Computing Machinery, New York, NY, USA, 959–971
Chunqiu Steven Xia and Lingming Zhang. 2022 · 2022
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CIRCLE: continual repair across programming languages. In Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis (<conf-loc>, <city>Virtual</city>, <country>South Korea</country>, </conf-loc>) (ISSTA 2022) . Association for Computing Machinery, New York, NY, USA, 678–690
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Program vulnerability repair via inductive inference. In Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis . 691–702
Yuntong Zhang, Xiang Gao, Gregory J Duck, and Abhik Roychoudhury. 2022 · 2022
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Ehsan Aghaei and Ehab Al-Shaer. 2023 · 2023
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FLAG: Finding Line Anomalies (in code) with Generative AI
Baleegh Ahmad, Benjamin Tan, Ramesh Karri, and Hammond Pearce. 2023 · 2023
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Tarek Ali and Panos Kostakos. 2023 · 2023
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Using ChatGPT as a Static Application Security Testing Tool
Atieh Bakhshandeh, Abdalsamad Keramatfar, Amir Norouzi, and Mohammad Mahdi Chekidehkhoun. 2023 · 2023
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A Survey on Malware Detection with Graph Representation Learning
Tristan Bilot, Nour El Madhoun, Khaldoun Al Agha, and Anis Zouaoui. 2023 · 2023
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GPThreats-3: Is Automatic Malware Generation a Threat?. In 2023 IEEE Security and Privacy Workshops (SPW) . 238–254
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GPThreats-3: Is Automatic Malware Generation a Threat?. In 2023 IEEE Security and Privacy Workshops (SPW) . 238–254
Marcus Botacin. 2023b · 2023
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On the User Perception of Security Risks of TAP Rules: A User Study. In End-User Development , Lucio Davide Spano, Albrecht Schmidt, Carmen Santoro, and Simone Stumpf (Eds.). Springer Nature Switzerland, Cham, 162–179
Bernardo Breve, Gaetano Cimino, Giuseppe Desolda, Vincenzo Deufemia, and Annunziata Elefante. 2023 · 2023
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Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, Harsha Nori, Hamid Palangi, Marco Tulio Ribeiro, and Yi Zhang. 2023 · 2023
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Scamming the Scammers: Using ChatGPT to Reply Mails for Wasting Time and Resources
Enrico Cambiaso and Luca Caviglione. 2023 · 2023
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Transformer-based Vulnerability Detection in Code at EditTime: Zero-shot, Few-shot, or Fine-tuning?
Aaron Chan, Anant Kharkar, Roshanak Zilouchian Moghaddam, Yevhen Mohylevskyy, Alec Helyar, Eslam Kamal, Mohamed Elkamhawy, and Neel Sundaresan. 2023 · 2023
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Yiannis Charalambous, Norbert Tihanyi, Ridhi Jain, Youcheng Sun, Mohamed Amine Ferrag, and Lucas C. Cordeiro. 2023 · 2023
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P. V. Sai Charan, Hrushikesh Chunduri, P. Mohan Anand, and Sandeep K Shukla. 2023 · 2023
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Beware of the Unexpected: Bimodal Taint Analysis
Yiu Wai Chow, Max Schäfer, and Michael Pradel. 2023 · 2023
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Do you still need a manual smart contract audit?
Isaac David, Liyi Zhou, Kaihua Qin, Dawn Song, Lorenzo Cavallaro, and Arthur Gervais. 2023 · 2023
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Large Language Models Are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models. In Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis (<conf-loc>, <city>Seattle</city>, <state>WA</state>, <country>USA</country>, </conf-loc>) (ISSTA 2023) . Association for Computing Machinery, New York, NY, USA, 423–435
Yinlin Deng, Chunqiu Steven Xia, Haoran Peng, Chenyuan Yang, and Lingming Zhang. 2023 · 2023
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A Survey on In-context Learning
Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Zhiyong Wu, Baobao Chang, Xu Sun, Jingjing Xu, Lei Li, and Zhifang Sui. 2023 · 2023
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Pre-training Code Representation with Semantic Flow Graph for Effective Bug Localization
Yali Du and Zhongxing Yu. 2023 · 2023
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On the Impossible Safety of Large AI Models
El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê-Nguyên Hoang, Rafael Pinot, Sébastien Rouault, and John Stephan. 2023 · 2023
Cited alongside, same era.
Decoding the Threat Landscape: ChatGPT, FraudGPT, and WormGPT in Social Engineering Attacks
Polra Victor Falade. 2023 · 2023
Cited alongside, same era.
Automated Repair of Programs from Large Language Models. In 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE) . 1469–1481
Zhiyu Fan, Xiang Gao, Martin Mirchev, Abhik Roychoudhury, and Shin Hwei Tan. 2023 · 2023
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RepresentThemAll: A Universal Learning Representation of Bug Reports. In 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE) . 602–614
Sen Fang, Tao Zhang, Youshuai Tan, He Jiang, Xin Xia, and Xiaobing Sun. 2023 · 2023
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On the Uses of Large Language Models to Interpret Ambiguous Cyberattack Descriptions
Sedar: Obtaining High-Quality Seeds for DBMS Fuzzing via Cross-DBMS SQL Transfer. In Proceedings of the IEEE/ACM 46th International Conference on Software Engineering (Lisbon, Portugal) (ICSE ’24) . Association for Computing Machinery, New York, NY, USA, Article 146, 12 pages
Jingzhou Fu, Jie Liang, Zhiyong Wu, and Yu Jiang. 2024 · 2024
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Retrieval-Augmented Generation for Large Language Models: A Survey
Yunfan Gao, Yun Xiong, Xinyu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yi Dai, Jiawei Sun, Meng Wang, and Haofen Wang. 2024 · 2024
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Jiawei Gu, Xuhui Jiang, Zhichao Shi, Hexiang Tan, Xuehao Zhai, Chengjin Xu, Wei Li, Yinghan Shen, Shengjie Ma, Honghao Liu, et al · 2024
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SoVAR: Build Generalizable Scenarios from Accident Reports for Autonomous Driving Testing. In Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering (Sacramento, CA, USA) (ASE ’24) . Association for Computing Machinery, New York, NY, USA, 268–280
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Reza Fayyazi and Shanchieh Jay Yang. 2023 · 2023
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SecureFalcon: The Next Cyber Reasoning System for Cyber Security
Mohamed Amine Ferrag, Ammar Battah, Norbert Tihanyi, Merouane Debbah, Thierry Lestable, and Lucas C. Cordeiro. 2023 · 2023
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InCoder: A Generative Model for Code Infilling and Synthesis
Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Wen tau Yih, Luke Zettlemoyer, and Mike Lewis. 2023 · 2023
Cited alongside, same era.
Blockchain Large Language Models
Yu Gai, Liyi Zhou, Kaihua Qin, Dawn Song, and Arthur Gervais. 2023 · 2023
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LLM Censorship: A Machine Learning Challenge or a Computer Security Problem?
David Glukhov, Ilia Shumailov, Yarin Gal, Nicolas Papernot, and Vardan Papyan. 2023 · 2023
Cited alongside, same era.
Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, and Mario Fritz. 2023 · 2023
Cited alongside, same era.
LogGPT: Log Anomaly Detection via GPT
Xiao Han, Shuhan Yuan, and Mohamed Trabelsi. 2023 · 2023
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Twits, Toxic Tweets, and Tribal Tendencies: Trends in Politically Polarized Posts on Twitter
Hans W. A. Hanley and Zakir Durumeric. 2023 · 2023
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An Guo, Yuan Zhou, Haoxiang Tian, Chunrong Fang, Yunjian Sun, Weisong Sun, Xinyu Gao, Anh Tuan Luu, Yang Liu, and Zhenyu Chen. 2024 · 2024
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Parameter-efficient fine-tuning for large models: A comprehensive survey
Zeyu Han, Chao Gao, Jinyang Liu, Jeff Zhang, and Sai Qian Zhang. 2024 · 2024
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Understanding the effect of noise in llm training data with algorithmic chains of thought
Alex Havrilla and Maia Iyer. 2024 · 2024
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Devising and Detecting Phishing Emails Using Large Language Models
Fredrik Heiding, Bruce Schneier, Arun Vishwanath, Jeremy Bernstein, and Peter S. Park. 2024a · 2024
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Devising and Detecting Phishing Emails Using Large Language Models
Fredrik Heiding, Bruce Schneier, Arun Vishwanath, Jeremy Bernstein, and Peter S. Park. 2024b · 2024
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A Deep Dive into Large Language Models for Automated Bug Localization and Repair
Soneya Binta Hossain, Nan Jiang, Qiang Zhou, Xiaopeng Li, Wen-Hao Chiang, Yingjun Lyu, Hoan Nguyen, and Omer Tripp. 2024 · 2024
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Large Language Models for Software Engineering: A Systematic Literature Review
Xinyi Hou, Yanjie Zhao, Yue Liu, Zhou Yang, Kailong Wang, Li Li, Xiapu Luo, David Lo, John Grundy, and Haoyu Wang. 2024 · 2024
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Knowledge-prompted ChatGPT: Enhancing drug trafficking detection on social media
Chuanbo Hu, Bin Liu, Xin Li, Yanfang Ye, and Minglei Yin. 2024b · 2024
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DeGPT: Optimizing Decompiler Output with LLM
Peiwei Hu, Ruigang Liang, and Kai Chen. 2024a · 2024
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An improved transformer-based model for detecting phishing, spam and ham emails: A large language model approach
Suhaima Jamal, Hayden Wimmer, and Iqbal H. Sarker. 2024 · 2024
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FALL: Prior Failure Detection in Large Scale System Based on Language Model
Jaeyoon Jeong, Insung Baek, Byungwoo Bang, Jun-Yeon Lee, Uiseok Song, and Seoung Bum Kim. 2025 · 2024
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PatUntrack: Automated Generating Patch Examples for Issue Reports without Tracked Insecure Code. In Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering (Sacramento, CA, USA) (ASE ’24) . Association for Computing Machinery, New York, NY, USA, 1–13
Ziyou Jiang, Lin Shi, Guowei Yang, and Qing Wang. 2024 · 2024
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Large Language Models for Anomaly Detection in Computational Workflows: From Supervised Fine-Tuning to In-Context Learning. In SC24: International Conference for High Performance Computing, Networking, Storage and Analysis . 1–17
Hongwei Jin, George Papadimitriou, Krishnan Raghavan, Pawel Zuk, Prasanna Balaprakash, Cong Wang, Anirban Mandal, and Ewa Deelman. 2024 · 2024
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(Security) Assertions by Large Language Models
Rahul Kande, Hammond Pearce, Benjamin Tan, Brendan Dolan-Gavitt, Shailja Thakur, Ramesh Karri, and Jeyavijayan Rajendran. 2024 · 2024
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ChatPhishDetector: Detecting Phishing Sites Using Large Language Models
Takashi Koide, Hiroki Nakano, and Daiki Chiba. 2024 · 2024
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A Study of Vulnerability Repair in JavaScript Programs with Large Language Models. In Companion Proceedings of the ACM Web Conference 2024 (Singapore, Singapore) (WWW ’24) . Association for Computing Machinery, New York, NY, USA, 666–669
Tan Khang Le, Saba Alimadadi, and Steven Y. Ko. 2024 · 2024
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PatchFinder: A Two-Phase Approach to Security Patch Tracing for Disclosed Vulnerabilities in Open-Source Software. In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (Vienna, Austria) (ISSTA 2024) . Association for Computing Machinery, New York, NY, USA, 590–602
Kaixuan Li, Jian Zhang, Sen Chen, Han Liu, Yang Liu, and Yixiang Chen. 2024b · 2024
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Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models. In Proceedings of the ACM Web Conference 2024 (Singapore, Singapore) (WWW ’24) . Association for Computing Machinery, New York, NY, USA, 2359–2370
Hongzhan Lin, Ziyang Luo, Wei Gao, Jing Ma, Bo Wang, and Ruichao Yang. 2024 · 2024
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Demystifying RCE Vulnerabilities in LLM-Integrated Apps. In Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security (Salt Lake City, UT, USA) (CCS ’24) . Association for Computing Machinery, New York, NY, USA, 1716–1730
Tong Liu, Zizhuang Deng, Guozhu Meng, Yuekang Li, and Kai Chen. 2024b · 2024
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DiaVio: LLM-Empowered Diagnosis of Safety Violations in ADS Simulation Testing. In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (Vienna, Austria) (ISSTA 2024) . Association for Computing Machinery, New York, NY, USA, 376–388
You Lu, Yifan Tian, Yuyang Bi, Bihuan Chen, and Xin Peng. 2024 · 2024
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Prompt Fuzzing for Fuzz Driver Generation. In Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security (Salt Lake City, UT, USA) (CCS ’24) . Association for Computing Machinery, New York, NY, USA, 3793–3807
Yunlong Lyu, Yuxuan Xie, Peng Chen, and Hao Chen. 2024 · 2024
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Large Language Model guided Protocol Fuzzing. In 31st Annual Network and Distributed System Security Symposium, NDSS 2024, San Diego, California, USA, February 26 - March 1, 2024 . The Internet Society
Ruijie Meng, Martin Mirchev, Marcel Böhme, and Abhik Roychoudhury. 2024b · 2024
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Large Language Models: A Survey
Shervin Minaee, Tomas Mikolov, Narjes Nikzad, Meysam Chenaghlu, Richard Socher, Xavier Amatriain, and Jianfeng Gao. 2024 · 2024
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Large Language Models in Cybersecurity: State-of-the-Art
Farzad Nourmohammadzadeh Motlagh, Mehrdad Hajizadeh, Mehryar Majd, Pejman Najafi, Feng Cheng, and Christoph Meinel. 2024 · 2024
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An Investigation into Misuse of Java Security APIs by Large Language Models. In Proceedings of the 19th ACM Asia Conference on Computer and Communications Security (Singapore, Singapore) (ASIA CCS ’24) . Association for Computing Machinery, New York, NY, USA, 1299–1315
Zahra Mousavi, Chadni Islam, Kristen Moore, Alsharif Abuadbba, and M. Ali Babar. 2024 · 2024
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SWT-Bench: Testing and Validating Real-World Bug-Fixes with Code Agents. In Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024 , Amir Globersons, Lester Mackey, Danielle Belgrave, Angela Fan, Ulrich Paquet, Jakub M. Tomczak, and Cheng Zhang (Eds.)
Niels Mündler, Mark Niklas Müller, Jingxuan He, and Martin T. Vechev. 2024 · 2024
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PromSec: Prompt Optimization for Secure Generation of Functional Source Code with Large Language Models (LLMs). In Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security (Salt Lake City, UT, USA) (CCS ’24) . Association for Computing Machinery, New York, NY, USA, 2266–2280
Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah, and NhatHai Phan. 2024 · 2024
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Generative AI in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity
Claudio Novelli, Federico Casolari, Philipp Hacker, Giorgio Spedicato, and Luciano Floridi. 2024 · 2024
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Is Self-Repair a Silver Bullet for Code Generation?
Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, and Armando Solar-Lezama. 2024 · 2024
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Technical report of Sora
OpenAI. 2024 · 2024
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DialogBench: Evaluating LLMs as Human-like Dialogue Systems
Jiao Ou, Junda Lu, Che Liu, Yihong Tang, Fuzheng Zhang, Di Zhang, and Kun Gai. 2024 · 2024
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Unifying Large Language Models and Knowledge Graphs: A Roadmap
Shirui Pan, Linhao Luo, Yufei Wang, Chen Chen, Jiapu Wang, and Xindong Wu. 2024 · 2024
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Exploiting Code Symmetries for Learning Program Semantics
Kexin Pei, Weichen Li, Qirui Jin, Shuyang Liu, Scott Geng, Lorenzo Cavallaro, Junfeng Yang, and Suman Jana. 2024 · 2024
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CellularLint: a systematic approach to identify inconsistent behavior in cellular network specifications. In Proceedings of the 33rd USENIX Conference on Security Symposium (Philadelphia, PA, USA) (SEC ’24) . USENIX Association, USA, Article 292, 18 pages
Mirza Masfiqur Rahman, Imtiaz Karim, and Elisa Bertino. 2024 · 2024
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From Chatbots to Phishbots?: Phishing Scam Generation in Commercial Large Language Models . In 2024 IEEE Symposium on Security and Privacy (SP) . IEEE Computer Society, Los Alamitos, CA, USA, 36–54
Sayak Saha Roy, Poojitha Thota, Krishna Vamsi Naragam, and Shirin Nilizadeh. 2024 · 2024
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Code Llama: Open Foundation Models for Code
Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, Romain Sauvestre, Tal Remez, Jérémy Rapin, Artyom Kozhevnikov, Ivan Evtimov, Joanna Bitton, Manish Bhatt, Cristian Canton Ferrer, Aaron Grattafiori, Wenhan Xiong, Alexandre Défossez, Jade Copet, Faisal Azhar, Hugo Touvron, Louis Martin, Nicolas Usunier, Thomas Scialom, and Gabriel Synnaeve. 2024 · 2024
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LLM for SoC Security: A Paradigm Shift
Dipayan Saha, Shams Tarek, Katayoon Yahyaei, Sujan Kumar Saha, Jingbo Zhou, Mark Tehranipoor, and Farimah Farahmandi. 2024 · 2024
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Large Language Models Cannot Explain Themselves
Advait Sarkar. 2024 · 2024
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Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs. In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (Vienna, Austria) (ISSTA 2024) . Association for Computing Machinery, New York, NY, USA, 13–25
Shiwen Shan, Yintong Huo, Yuxin Su, Yichen Li, Dan Li, and Zibin Zheng. 2024 · 2024
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WaDec: Decompiling WebAssembly Using Large Language Model. In 2024 39th IEEE/ACM International Conference on Automated Software Engineering (ASE) . 481–492
Xinyu She, Yanjie Zhao, and Haoyu Wang. 2024 · 2024
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RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair
André Silva, Sen Fang, and Martin Monperrus. 2024 · 2024
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Beyond Memorization: Violating Privacy Via Inference with Large Language Models
Robin Staab, Mark Vero, Mislav Balunović, and Martin Vechev. 2024 · 2024
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GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis. In Proceedings of the IEEE/ACM 46th International Conference on Software Engineering (Lisbon, Portugal) (ICSE ’24) . Association for Computing Machinery, New York, NY, USA, Article 166, 13 pages
Yuqiang Sun, Daoyuan Wu, Yue Xue, Han Liu, Haijun Wang, Zhengzi Xu, Xiaofei Xie, and Yang Liu. 2024 · 2024
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Code Repair with LLMs gives an Exploration-Exploitation Tradeoff. In Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024 , Amir Globersons, Lester Mackey, Danielle Belgrave, Angela Fan, Ulrich Paquet, Jakub M. Tomczak, and Cheng Zhang (Eds.)
Hao Tang, Keya Hu, Jin Zhou, Sicheng Zhong, Wei-Long Zheng, Xujie Si, and Kevin Ellis. 2024 · 2024
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Supporting Human Raters with the Detection of Harmful Content using Large Language Models
Kurt Thomas, Patrick Gage Kelley, David Tao, Sarah Meiklejohn, Owen Vallis, Shunwen Tan, Blaz Bratanic, Felipe Tiengo Ferreira, Vijay Kumar Eranti, and Elie Bursztein. 2024 · 2024
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ZeroLeak: Automated Side-Channel Patching in Source Code Using LLMs. In Computer Security – ESORICS 2024: 29th European Symposium on Research in Computer Security, Bydgoszcz, Poland, September 16–20, 2024, Proceedings, Part I (Bydgoszcz, Poland). Springer-Verlag, Berlin, Heidelberg, 290–310
M. Caner Tol and Berk Sunar. 2024 · 2024
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Saad Ullah, Mingji Han, Saurabh Pujar, Hammond Pearce, Ayse Coskun, and Gianluca Stringhini. 2024 · 2024
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Sanitizing Large Language Models in Bug Detection with Data-Flow. In Findings of the Association for Computational Linguistics: EMNLP 2024 , Yaser Al-Onaizan, Mohit Bansal, and Yun-Nung Chen (Eds.). Association for Computational Linguistics, Miami, Florida, USA, 3790–3805
Chengpeng Wang, Wuqi Zhang, Zian Su, Xiangzhe Xu, and Xiangyu Zhang. 2024e · 2024
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ProphetFuzz: Fully Automated Prediction and Fuzzing of High-Risk Option Combinations with Only Documentation via Large Language Model. In Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security (Salt Lake City, UT, USA) (CCS ’24) . Association for Computing Machinery, New York, NY, USA, 735–749
Dawei Wang, Geng Zhou, Li Chen, Dan Li, and Yukai Miao. 2024f · 2024
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INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair. In Findings of the Association for Computational Linguistics: ACL 2024 , Lun-Wei Ku, Andre Martins, and Vivek Srikumar (Eds.). Association for Computational Linguistics, Bangkok, Thailand, 2081–2107
Hanbin Wang, Zhenghao Liu, Shuo Wang, Ganqu Cui, Ning Ding, Zhiyuan Liu, and Ge Yu. 2024c · 2024
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LLMIF: Augmented Large Language Model for Fuzzing IoT Devices. In 2024 IEEE Symposium on Security and Privacy (SP) . 881–896
Jincheng Wang, Le Yu, and Xiapu Luo. 2024d · 2024
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SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection. In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (Vienna, Austria) (ISSTA 2024) . Association for Computing Machinery, New York, NY, USA, 235–247
Xin-Cheng Wen, Cuiyun Gao, Shuzheng Gao, Yang Xiao, and Michael R. Lyu. 2024 · 2024
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Fuzz4All: Universal Fuzzing with Large Language Models. In Proceedings of the IEEE/ACM 46th International Conference on Software Engineering (Lisbon, Portugal) (ICSE ’24) . Association for Computing Machinery, New York, NY, USA, Article 126, 13 pages
Chunqiu Steven Xia, Matteo Paltenghi, Jia Le Tian, Michael Pradel, and Lingming Zhang. 2024 · 2024
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Automated Program Repair via Conversation: Fixing 162 out of 337 Bugs for $0.42 Each using ChatGPT. In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (Vienna, Austria) (ISSTA 2024) . Association for Computing Machinery, New York, NY, USA, 819–831
Chunqiu Steven Xia and Lingming Zhang. 2024 · 2024
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CREF: An LLM-Based Conversational Software Repair Framework for Programming Tutors. In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (Vienna, Austria) (ISSTA 2024) . Association for Computing Machinery, New York, NY, USA, 882–894
Boyang Yang, Haoye Tian, Weiguo Pian, Haoran Yu, Haitao Wang, Jacques Klein, Tegawendé F. Bissyandé, and Shunfu Jin. 2024b · 2024
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WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models
Chenyuan Yang, Yinlin Deng, Runyu Lu, Jiayi Yao, Jiawei Liu, Reyhaneh Jabbarvand, and Lingming Zhang. 2024a · 2024
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A Survey on Large Language Model (LLM) Security and Privacy: The Good, The Bad, and The Ugly
Yifan Yao, Jinhao Duan, Kaidi Xu, Yuanfang Cai, Zhibo Sun, and Yue Zhang. 2024 · 2024
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A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems
Zihao Yi, Jiarui Ouyang, Yuwen Liu, Tianhao Liao, Zhe Xu, and Ying Shen. 2024 · 2024
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Review of Generative AI Methods in Cybersecurity
Yagmur Yigit, William J Buchanan, Madjid G Tehrani, and Leandros Maglaras. 2024 · 2024
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ThinkRepair: Self-Directed Automated Program Repair. In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (Vienna, Austria) (ISSTA 2024) . Association for Computing Machinery, New York, NY, USA, 1274–1286
Xin Yin, Chao Ni, Shaohua Wang, Zhenhao Li, Limin Zeng, and Xiaohu Yang. 2024b · 2024
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Maltracker: A Fine-Grained NPM Malware Tracker Copiloted by LLM-Enhanced Dataset. In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (Vienna, Austria) (ISSTA 2024) . Association for Computing Machinery, New York, NY, USA, 1759–1771
Zeliang Yu, Ming Wen, Xiaochen Guo, and Hai Jin. 2024 · 2024
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Detecting Bugs with Substantial Monetary Consequences by LLM and Rule-based Reasoning. In Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024 , Amir Globersons, Lester Mackey, Danielle Belgrave, Angela Fan, Ulrich Paquet, Jakub M. Tomczak, and Cheng Zhang (Eds.)
Brian Zhang and Zhuo Zhang. 2024 · 2024
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Prompt-Enhanced Software Vulnerability Detection Using ChatGPT. In Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings (Lisbon, Portugal) (ICSE-Companion ’24) . Association for Computing Machinery, New York, NY, USA, 276–277
Chenyuan Zhang, Hao Liu, Jiutian Zeng, Kejing Yang, Yuhong Li, and Hui Li. 2024b · 2024
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How Effective Are They? Exploring Large Language Model Based Fuzz Driver Generation. In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (Vienna, Austria) (ISSTA 2024) . Association for Computing Machinery, New York, NY, USA, 1223–1235
Cen Zhang, Yaowen Zheng, Mingqiang Bai, Yeting Li, Wei Ma, Xiaofei Xie, Yuekang Li, Limin Sun, and Yang Liu. 2024e · 2024
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How Effective Are They? Exploring Large Language Model Based Fuzz Driver Generation. In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (Vienna, Austria) (ISSTA 2024) . Association for Computing Machinery, New York, NY, USA, 1223–1235
Cen Zhang, Yaowen Zheng, Mingqiang Bai, Yeting Li, Wei Ma, Xiaofei Xie, Yuekang Li, Limin Sun, and Yang Liu. 2024f · 2024
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AutoCodeRover: Autonomous Program Improvement. In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (Vienna, Austria) (ISSTA 2024) . Association for Computing Machinery, New York, NY, USA, 1592–1604
Yuntong Zhang, Haifeng Ruan, Zhiyu Fan, and Abhik Roychoudhury. 2024c · 2024
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RePair: Automated Program Repair with Process-based Feedback. In Findings of the Association for Computational Linguistics: ACL 2024 , Lun-Wei Ku, Andre Martins, and Vivek Srikumar (Eds.). Association for Computational Linguistics, Bangkok, Thailand, 16415–16429
Yuze Zhao, Zhenya Huang, Yixiao Ma, Rui Li, Kai Zhang, Hao Jiang, Qi Liu, Linbo Zhu, and Yu Su. 2024 · 2024
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Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step by Step. In Findings of the Association for Computational Linguistics: ACL 2024 , Lun-Wei Ku, Andre Martins, and Vivek Srikumar (Eds.). Association for Computational Linguistics, Bangkok, Thailand, 851–870
Li Zhong, Zilong Wang, and Jingbo Shang. 2024 · 2024
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Large Language Model for Vulnerability Detection and Repair: Literature Review and Roadmap
Xin Zhou, Sicong Cao, Xiaobing Sun, and David Lo. 2024 · 2024
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Teams of llm agents can exploit zero-day vulnerabilities
Yuxuan Zhu, Antony Kellermann, Akul Gupta, Philip Li, Richard Fang, Rohan Bindu, and Daniel Kang. 2024 · 2024
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ReCopilot: Reverse Engineering Copilot in Binary Analysis
Guoqiang Chen, Huiqi Sun, Daguang Liu, Zhiqi Wang, Qiang Wang, Bin Yin, Lu Liu, and Lingyun Ying. 2025 · 2025
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Enhancing Semantic Understanding in Pointer Analysis using Large Language Models
Baijun Cheng, Kailong Wang, Ling Shi, Haoyu Wang, Yao Guo, Ding Li, and Xiangqun Chen. 2025 · 2025
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Security and Privacy Challenges of Large Language Models: A Survey
Badhan Chandra Das, M. Hadi Amini, and Yanzhao Wu. 2025 · 2025
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DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-AI, Daya Guo, Dejian Yang, Haowei Zhang, Junxiao Song, Ruoyu Zhang, Runxin Xu, Qihao Zhu, Shirong Ma, Peiyi Wang, Xiao Bi, Xiaokang Zhang, Xingkai Yu, Yu Wu, Z. F. Wu, Zhibin Gou, Zhihong Shao, Zhuoshu Li, Ziyi Gao, Aixin Liu, Bing Xue, Bingxuan Wang, Bochao Wu, Bei Feng, Chengda Lu, Chenggang Zhao, Chengqi Deng, Chenyu Zhang, Chong Ruan, Damai Dai, Deli Chen, Dongjie Ji, Erhang Li, Fangyun Lin, Fucong Dai, Fuli Luo, Guangbo Hao, Guanting Chen, Guowei Li, H. Zhang, Han Bao, Hanwei Xu, Haocheng Wang, Honghui Ding, Huajian Xin, Huazuo Gao, Hui Qu, Hui Li, Jianzhong Guo, Jiashi Li, Jiawei Wang, Jingchang Chen, Jingyang Yuan, Junjie Qiu, Junlong Li, J. L. Cai, Jiaqi Ni, Jian Liang, Jin Chen, Kai Dong, Kai Hu, Kaige Gao, Kang Guan, Kexin Huang, Kuai Yu, Lean Wang, Lecong Zhang, Liang Zhao, Litong Wang, Liyue Zhang, Lei Xu, Leyi Xia, Mingchuan Zhang, Minghua Zhang, Minghui Tang, Meng Li, Miaojun Wang, Mingming Li, Ning Tian, Panpan Huang, Peng Zhang, Qiancheng Wang, Qinyu Chen, Qiushi Du, Ruiqi Ge, Ruisong Zhang, Ruizhe Pan, Runji Wang, R. J. Chen, R. L. Jin, Ruyi Chen, Shanghao Lu, Shangyan Zhou, Shanhuang Chen, Shengfeng Ye, Shiyu Wang, Shuiping Yu, Shunfeng Zhou, Shuting Pan, S. S. Li, Shuang Zhou, Shaoqing Wu, Shengfeng Ye, Tao Yun, Tian Pei, Tianyu Sun, T. Wang, Wangding Zeng, Wanjia Zhao, Wen Liu, Wenfeng Liang, Wenjun Gao, Wenqin Yu, Wentao Zhang, W. L. Xiao, Wei An, Xiaodong Liu, Xiaohan Wang, Xiaokang Chen, Xiaotao Nie, Xin Cheng, Xin Liu, Xin Xie, Xingchao Liu, Xinyu Yang, Xinyuan Li, Xuecheng Su, Xuheng Lin, X. Q. Li, Xiangyue Jin, Xiaojin Shen, Xiaosha Chen, Xiaowen Sun, Xiaoxiang Wang, Xinnan Song, Xinyi Zhou, Xianzu Wang, Xinxia Shan, Y. K. Li, Y. Q. Wang, Y. X. Wei, Yang Zhang, Yanhong Xu, Yao Li, Yao Zhao, Yaofeng Sun, Yaohui Wang, Yi Yu, Yichao Zhang, Yifan Shi, Yiliang Xiong, Ying He, Yishi Piao, Yisong Wang, Yixuan Tan, Yiyang Ma, Yiyuan Liu, Yongqiang Guo, Yuan Ou, Yuduan Wang, Yue Gong, Yuheng Zou, Yujia He, Yunfan Xiong, Yuxiang Luo, Yuxiang You, Yuxuan Liu, Yuyang Zhou, Y. X. Zhu, Yanhong Xu, Yanping Huang, Yaohui Li, Yi Zheng, Yuchen Zhu, Yunxian Ma, Ying Tang, Yukun Zha, Yuting Yan, Z. Z. Ren, Zehui Ren, Zhangli Sha, Zhe Fu, Zhean Xu, Zhenda Xie, Zhengyan Zhang, Zhewen Hao, Zhicheng Ma, Zhigang Yan, Zhiyu Wu, Zihui Gu, Zijia Zhu, Zijun Liu, Zilin Li, Ziwei Xie, Ziyang Song, Zizheng Pan, Zhen Huang, Zhipeng Xu, Zhongyu Zhang, and Zhen Zhang. 2025 · 2025
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Explainable AI in Usable Privacy and Security: Challenges and Opportunities
Vincent Freiberger, Arthur Fleig, and Erik Buchmann. 2025 · 2025
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AI Agent Smart Contract Exploit Generation
Arthur Gervais and Liyi Zhou. 2025 · 2025
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LLMPirate: LLMs for Black-box Hardware IP Piracy. In 32nd Annual Network and Distributed System Security Symposium, NDSS 2025, San Diego, California, USA, February 24-28, 2025 . The Internet Society
Vasudev Gohil, Matthew DeLorenzo, Veera Vishwa Achuta Sai Venkat Nallam, Joey See, and Jeyavijayan Rajendran. 2025 · 2025
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VulBinLLM: LLM-powered Vulnerability Detection for Stripped Binaries
Nasir Hussain, Haohan Chen, Chanh Tran, Philip Huang, Zhuohao Li, Pravir Chugh, William Chen, Ashish Kundu, and Yuan Tian. 2025 · 2025
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LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI’s ChatGPT Plugins
Umar Iqbal, Tadayoshi Kohno, and Franziska Roesner. 2025 · 2025
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Rabimba Karanjai, Sam Blackshear, Lei Xu, and Weidong Shi. 2025 · 2025
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Prompt Flow Integrity to Prevent Privilege Escalation in LLM Agents
Juhee Kim, Woohyuk Choi, and Byoungyoung Lee. 2025 · 2025
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Vulnbot: Autonomous penetration testing for a multi-agent collaborative framework
He Kong, Die Hu, Jingguo Ge, Liangxiong Li, Tong Li, and Bingzhen Wu. 2025 · 2025
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EXPLICATE: Enhancing Phishing Detection through Explainable AI and LLM-Powered Interpretability
Bryan Lim, Roman Huerta, Alejandro Sotelo, Anthonie Quintela, and Priyanka Kumar. 2025 · 2025
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From Large to Mammoth: A Comparative Evaluation of Large Language Models in Vulnerability Detection. In 32nd Annual Network and Distributed System Security Symposium, NDSS 2025, San Diego, California, USA, February 24-28, 2025 . The Internet Society
Jie Lin and David Mohaisen. 2025 · 2025
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PropertyGPT: LLM-driven Formal Verification of Smart Contracts through Retrieval-Augmented Property Generation. In 32nd Annual Network and Distributed System Security Symposium, NDSS 2025, San Diego, California, USA, February 24-28, 2025 . The Internet Society
Ye Liu, Yue Xue, Daoyuan Wu, Yuqiang Sun, Yi Li, Miaolei Shi, and Yang Liu. 2025 · 2025
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Large language model agent: A survey on methodology, applications and challenges
Junyu Luo, Weizhi Zhang, Ye Yuan, Yusheng Zhao, Junwei Yang, Yiyang Gu, Bohan Wu, Binqi Chen, Ziyue Qiao, Qingqing Long, et al · 2025
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RTL-Breaker: Assessing the Security of LLMs Against Backdoor Attacks on HDL Code Generation. In Design, Automation & Test in Europe Conference, DATE 2025, Lyon, France, March 31 - April 2, 2025 . IEEE, 1–7
Lakshmi Likhitha Mankali, Jitendra Bhandari, Manaar Alam, Ramesh Karri, Michail Maniatakos, Ozgur Sinanoglu, and Johann Knechtel. 2025 · 2025
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FaultLine: Automated Proof-of-Vulnerability Generation Using LLM Agents
Vikram Nitin, Baishakhi Ray, and Roshanak Zilouchian Moghaddam. 2025 · 2025
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Lamd: Context-driven android malware detection and classification with llms. In 2025 IEEE Security and Privacy Workshops (SPW) . IEEE, 126–136
Xingzhi Qian, Xinran Zheng, Yiling He, Shuo Yang, and Lorenzo Cavallaro. 2025 · 2025
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Rebecca Saul, Hao Wang, Koushik Sen, and David Wagner. 2025 · 2025
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AutoPatch: Multi-Agent Framework for Patching Real-World CVE Vulnerabilities
Minjae Seo, Wonwoo Choi, Myoungsung You, and Seungwon Shin. 2025 · 2025
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BugWhisperer: Fine-Tuning LLMs for SoC Hardware Vulnerability Detection
Shams Tarek, Dipayan Saha, Sujan Kumar Saha, and Farimah Farahmandi. 2025 · 2025
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Adaptive Plan-Execute Framework for Smart Contract Security Auditing
Zhiyuan Wei, Jing Sun, Zijian Zhang, Zhe Hou, and Zixiao Zhao. 2025 · 2025
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Unleashing the Power of Generative Model in Recovering Variable Names from Stripped Binary. In 32nd Annual Network and Distributed System Security Symposium, NDSS 2025, San Diego, California, USA, February 24-28, 2025 . The Internet Society
Xiangzhe Xu, Zhuo Zhang, Zian Su, Ziyang Huang, Shiwei Feng, Yapeng Ye, Nan Jiang, Danning Xie, Siyuan Cheng, Lin Tan, and Xiangyu Zhang. 2025b · 2025
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An LLM Agent for Functional Bug Detection in Network Protocols
Mingwei Zheng, Chengpeng Wang, Xuwei Liu, Jinyao Guo, Shiwei Feng, and Xiangyu Zhang. 2025 · 2025
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Understanding the Effectiveness of Coverage Criteria for Large Language Models: A Special Angle from Jailbreak Attacks. In 47th IEEE/ACM International Conference on Software Engineering, ICSE 2025, Ottawa, ON, Canada, April 26 - May 6, 2025 . IEEE, 730–742
Shide Zhou, Tianlin Li, Kailong Wang, Yihao Huang, Ling Shi, Yang Liu, and Haoyu Wang. 2025 · 2025
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