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Security vulnerabilities are increasingly prevalent in modern software and they are widely consequential to our society.
A new algorithm for data compression
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Nicholas Nethercote and Julian Seward · 2007
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Comparing the effectiveness of penetration testing and static code analysis on the detection of SQL injection vulnerabilities in web services
Nuno Antunes and Marco Vieira · 2009
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A comparative study on software vulnerability static analysis techniques and tools
Peng Li and Baojiang Cui · 2010
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Practical memory checking with dr. memory
Derek Bruening and Qin Zhao · 2011
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Undangle: early detection of dangling pointers in use-after-free and double-free vulnerabilities
Juan Caballero, Gustavo Grieco, Mark Marron, and Antonio Nappa · 2012
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{ \{ AddressSanitizer } \} : A fast address sanity checker
Konstantin Serebryany, Derek Bruening, Alexander Potapenko, and Dmitriy Vyukov · 2012
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A comparison of the efficiency and effectiveness of vulnerability discovery techniques
Andrew Austin, Casper Holmgreen, and Laurie Williams · 2013
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Dowsing for Overflows: A guided fuzzer to find buffer boundary violations
Istvan Haller, Asia Slowinska, Matthias Neugschwandtner, and Herbert Bos · 2013
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Why don’t software developers use static analysis tools to find bugs?
Brittany Johnson, Yoonki Song, Emerson Murphy-Hill, and Robert Bowdidge · 2013
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Technical "whitepaper" for afl-fuzz
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Dynamic detection of inter-application communication vulnerabilities in android
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SARD: A software assurance reference dataset
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Vurle: Automatic vulnerability detection and repair by learning from examples
Siqi Ma, Ferdian Thung, David Lo, Cong Sun, and Robert H Deng · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 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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Tt-xss: A novel taint tracking based dynamic detection framework for dom cross-site scripting
Ran Wang, Guangquan Xu, Xianjiao Zeng, Xiaohong Li, and Zhiyong Feng · 2018
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The art, science, and engineering of fuzzing: A survey
Valentin JM Manès, HyungSeok Han, Choongwoo Han, Sang Kil Cha, Manuel Egele, Edward J Schwartz, and Maverick Woo · 2019
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Huggingface’s transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, et al · 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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Automation of vulnerability classification from its description using machine learning
Masaki Aota, Hideaki Kanehara, Masaki Kubo, Noboru Murata, Bo Sun, and Takeshi Takahashi · 2020
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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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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Gpt-3: Its nature, scope, limits, and consequences
Luciano Floridi and Massimo Chiriatti · 2020
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PCA: memory leak detection using partial call-path analysis
Wen Li, Haipeng Cai, Yulei Sui, and David Manz · 2020
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Binary-level directed fuzzing for { \{ Use-After-Free } \} vulnerabilities
Manh-Dung Nguyen, Sébastien Bardin, Richard Bonichon, Roland Groz, and Matthieu Lemerre · 2020
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A preliminary study on open-source memory vulnerability detectors
Yu Nong and Haipeng Cai · 2020
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Typestate-guided fuzzer for discovering use-after-free vulnerabilities
Haijun Wang, Xiaofei Xie, Yi Li, Cheng Wen, Yuekang Li, Yang Liu, Shengchao Qin, Hongxu Chen, and Yulei Sui · 2020
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Deep learning based vulnerability detection: Are we there yet
Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, and Baishakhi Ray · 2021
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Detecting kernel memory leaks in specialized modules with ownership reasoning
Navid Emamdoost, Qiushi Wu, Kangjie Lu, and Stephen McCamant · 2021
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FlowDist:multi-staged refinement-based dynamic information flow analysis for distributed software systems
Software vulnerability: Impact & ways to avoid it
Ericsson · 2023
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Large language models for software engineering: Survey and open problems
Angela Fan, Beliz Gokkaya, Mark Harman, Mitya Lyubarskiy, Shubho Sengupta, Shin Yoo, and Jie M Zhang · 2023
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Prompting is all your need: Automated android bug replay with large language models
Sidong Feng and Chunyang Chen · 2023
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Zero-day vulnerabilities: 17 consequences and complications
Forbes Technology Council · 2023
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Controlling large language models to generate secure and vulnerable code
Jingxuan He and Martin Vechev · 2023
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Xiaoqin Fu and Haipeng Cai · 2021
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Beyond tests: Program vulnerability repair via crash constraint extraction
Xiang Gao, Bo Wang, Gregory J Duck, Ruyi Ji, Yingfei Xiong, and Abhik Roychoudhury · 2021
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The power of scale for parameter-efficient prompt tuning
Brian Lester, Rami Al-Rfou, and Noah Constant · 2021
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Vulnerability detection with fine-grained interpretations
Yi Li, Shaohua Wang, and Tien N Nguyen · 2021
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Sysevr: A framework for using deep learning to detect software vulnerabilities
Zhen Li, Deqing Zou, Shouhuai Xu, Hai Jin, Yawei Zhu, and Zhaoxuan Chen · 2021
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Evaluating and comparing memory error vulnerability detectors
Yu Nong, Haipeng Cai, Pengfei Ye, Li Li, and Feng Chen · 2021
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Yue Wang, Weishi Wang, Shafiq Joty, and Steven CH Hoi · 2021
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Xinlei He, Savvas Zannettou, Yun Shen, and Yang Zhang · 2023
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The high cost of security vulnerabilities
Ilan Peleg · 2023
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National vulnerability database (nvd) dashboard
Information Technology Laboratory at NIST · 2023
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Repair is nearly generation: Multilingual program repair with llms
Harshit Joshi, José Cambronero Sanchez, Sumit Gulwani, Vu Le, Gust Verbruggen, and Ivan Radiček · 2023
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Large language models are few-shot testers: Exploring llm-based general bug reproduction
Sungmin Kang, Juyeon Yoon, and Shin Yoo · 2023
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The hitchhiker’s guide to program analysis: A journey with large language models
Haonan Li, Yu Hao, Yizhuo Zhai, and Zhiyun Qian · 2023
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PolyFuzz: Holistic greybox fuzzing of multi-language systems
Wen Li, Jinyang Ruan, Guangbei Yi, Long Cheng, Xiapu Luo, and Haipeng Cai · 2023
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Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang, and Lingming Zhang · 2023
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Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing
Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig · 2023
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VulChecker: Graph-based vulnerability localization in source code
Yisroel Mirsky, George Macon, Michael Brown, Carter Yagemann, Matthew Pruett, Evan Downing, Sukarno Mertoguno, and Wenke Lee · 2023
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Can large language models find and fix vulnerable software?
David Noever · 2023
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VulGen: Realistic vulnerable sample generation via pattern mining and deep learning
Yu Nong, Yuzhe Ou, Michael Pradel, Feng Chen, and Haipeng Cai · 2023
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Examining zero-shot vulnerability repair with large language models
Hammond Pearce, Benjamin Tan, Baleegh Ahmad, Ramesh Karri, and Brendan Dolan-Gavitt · 2023
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Skeletons in microsoft’s closet - silently fixed vulnerabilities
Andre Protas and Steve Manzuik · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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Software testing with large language model: Survey, landscape, and vision
Junjie Wang, Yuchao Huang, Chunyang Chen, Zhe Liu, Song Wang, and Qing Wang · 2023
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Yuxiang Wei, Chunqiu Steven Xia, and Lingming Zhang · 2023
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A prompt pattern catalog to enhance prompt engineering with chatgpt
Jules White, Quchen Fu, Sam Hays, Michael Sandborn, Carlos Olea, Henry Gilbert, Ashraf Elnashar, Jesse Spencer-Smith, and Douglas C Schmidt · 2023
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How effective are neural networks for fixing security vulnerabilities
Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, and Sameena Shah · 2023
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Universal fuzzing via large language models
Chunqiu Steven Xia, Matteo Paltenghi, Jia Le Tian, Michael Pradel, and Lingming Zhang · 2023
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Tree of thoughts: Deliberate problem solving with large language models
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Thomas L Griffiths, Yuan Cao, and Karthik Narasimhan · 2023
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Falcon llm: A new frontier in natural language processing
Yoshua X ZXhang, Yann M Haxo, and Ying X Mat · 2023
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VGX: Large-scale sample generation for boosting learning-based software vulnerability analyses
Yu Nong, Richard Fang, Guangbei Yi, Kunsong Zhao, Xiapu Luo, Feng Chen, and Haipeng Cai · 2024
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