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As software becomes increasingly complex and prone to vulnerabilities, automated vulnerability detection is critically important, yet challenging.
Klee: Unassisted and automatic generation of high-coverage tests for complex systems programs
Cristian Cadar, Daniel Dunbar, and Dawson Engler · 2008
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Deep reinforcement learning from human preferences
Paul F Christiano, Jan Leike, Tom Brown, Miljan Martic, Shane Legg, and Dario Amodei · 2017
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Learn&Fuzz: Machine Learning for Input Fuzzing
Patrice Godefroid, Hila Peleg, and Rishabh Singh · 2017
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VulDeePecker: A Deep Learning-Based System for Vulnerability Detection
Zhen Li, Deqing Zou, Shouhuai Xu, Xinyu Ou, Hai Jin, Sujuan Wang, Zhijun Deng, and Yuyi Zhong · 2018
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RoBERTa: A Robustly Optimized BERT Pretraining Approach, July 2019
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019
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Detecting Missing-Check bugs via semantic- and Context-Aware criticalness and constraints inferences
Kangjie Lu, Aditya Pakki, and Qiushi Wu · 2019
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Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks
Yaqin Zhou, Shangqing Liu, Jingkai Siow, Xiaoning Du, and Yang Liu · 2019
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µVulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection
Deqing Zou, Sujuan Wang, Shouhuai Xu, Zhen Li, and Hai Jin · 2019
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A C/C++ Code Vulnerability Dataset with Code Changes and CVE Summaries
Jiahao Fan, Yi Li, Shaohua Wang, and Tien N. Nguyen · 2020
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Magma: A Ground-Truth Fuzzing Benchmark
Ahmad Hazimeh, Adrian Herrera, and Mathias Payer · 2020
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Deep learning based vulnerability detection: Are we there yet?
S. Chakraborty, R. Krishna, Y. Ding, and B. Ray · 2021
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Measuring massive multitask language understanding
Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt · 2021
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VulDeeLocator: A Deep Learning-based Fine-grained Vulnerability Detector
Zhen Li, Deqing Zou, Shouhuai Xu, Zhaoxuan Chen, Yawei Zhu, and Hai Jin · 2021
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CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, and Shujie Liu · 2021
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Understanding and detecting disordered error handling with precise function pairing
Qiushi Wu, Aditya Pakki, Navid Emamdoost, Stephen McCamant, and Kangjie Lu · 2021
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D2a: A dataset built for ai-based vulnerability detection methods using differential analysis
Yunhui Zheng, Saurabh Pujar, Burn Lewis, Luca Buratti, Edward Epstein, Bo Yang, Jim Laredo, Alessandro Morari, and Zhong Su · 2021
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Glm: General language model pretraining with autoregressive blank infilling
Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, and Jie Tang · 2022
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LineVul: A Transformer-based Line-Level Vulnerability Prediction
Michael Fu and Chakkrit Tantithamthavorn · 2022
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Vulberta: Simplified source code pre-training for vulnerability detection
Hazim Hanif and Sergio Maffeis · 2022
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Binary abstract inspector, April 2022
Keenlab · 2022
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An empirical study on the effectiveness of static C code analyzers for vulnerability detection
Stephan Lipp, Sebastian Banescu, and Alexander Pretschner · 2022
Cited alongside, same era.
Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
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Learning approximate execution semantics from traces for binary function similarity
Hex-rays – state of the art binary analysis solutions
Hex-Rays · 2023
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Text generation inference
Huggingface · 2023
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Efficient memory management for large language model serving with pagedattention
Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph E. Gonzalez, Hao Zhang, and Ion Stoica · 2023
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Platypus: Quick, Cheap, and Powerful Refinement of LLMs, August 2023
Ariel N. Lee, Cole J. Hunter, and Nataniel Ruiz · 2023
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The Hitchhiker’s Guide to Program Analysis: A Journey with Large Language Models, July 2023
Haonan Li, Yu Hao, Yizhuo Zhai, and Zhiyun Qian · 2023
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Cppcheck: A tool for static c/c++ code analysis, September 2023
Daniel Marjamäki · 2023
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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K. Pei, Z. Xuan, J. Yang, S. Jana, and B. Ray · 2022
Cited alongside, same era.
jTrans: Jump-aware transformer for binary code similarity detection
Hao Wang, Wenjie Qu, Gilad Katz, Wenyu Zhu, Zeyu Gao, Han Qiu, Jianwei Zhuge, and Chao Zhang · 2022
Cited alongside, same era.
Falcon-40B: an open large language model with state-of-the-art performance
Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, Alessandro Cappelli, Ruxandra Cojocaru, Merouane Debbah, Etienne Goffinet, Daniel Heslow, Julien Launay, Quentin Malartic, Badreddine Noune, Baptiste Pannier, and Guilherme Penedo · 2023
Cited alongside, same era.
Baichuan 2: Open large-scale language models
Baichuan · 2023
Cited alongside, same era.
CodePlan: Repository-level Coding using LLMs and Planning, September 2023
Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D. C, Arun Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, and Shashank Shet · 2023
Cited alongside, same era.
Open llm leaderboard
Edward Beeching, Clémentine Fourrier, Nathan Habib, Sheon Han, Nathan Lambert, Nazneen Rajani, Omar Sanseviero, Lewis Tunstall, and Thomas Wolf · 2023
Cited alongside, same era.
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
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Can large language models find and fix vulnerable software?
David Noever · 2023
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Code Llama: Open Foundation Models for Code, August 2023
Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, 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 · 2023
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Toolformer: Language Models Can Teach Themselves to Use Tools, February 2023
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom · 2023
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AIFORE: Smart fuzzing based on automatic input format reverse engineering
Ji Shi, Zhun Wang, Zhiyao Feng, Yang Lan, Shisong Qin, Wei You, Wei Zou, Mathias Payer, and Chao Zhang · 2023
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An empirical study of deep learning models for vulnerability detection
B. Steenhoek, M. Rahman, R. Jiles, and W. Le · 2023
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Internlm: A multilingual language model with progressively enhanced capabilities
InternLM Team · 2023
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Llama 2: Open Foundation and Fine-Tuned Chat Models, July 2023
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurelien Rodriguez, Robert Stojnic, Sergey Edunov, and Thomas Scialom · 2023
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Flawfinder, September 2023
David Wheeler · 2023
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GLM-130b: An open bilingual pre-trained model
Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, Weng Lam Tam, Zixuan Ma, Yufei Xue, Jidong Zhai, Wenguang Chen, Zhiyuan Liu, Peng Zhang, Yuxiao Dong, and Jie Tang · 2023
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Prompt-enhanced software vulnerability detection using chatgpt
Chenyuan Zhang, Hao Liu, Jiutian Zeng, Kejing Yang, Yuhong Li, and Hui Li · 2023
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Judging LLM-as-a-judge with MT-Bench and Chatbot Arena, July 2023
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric P. Xing, Hao Zhang, Joseph E. Gonzalez, and Ion Stoica · 2023
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