How Effective Are Neural Networks for Fixing Security Vulnerabilities

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How Effective Are Neural Networks for Fixing Security Vulnerabilities

29 May 2023

Thibaud Lutellier

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Papers citing "How Effective Are Neural Networks for Fixing Security Vulnerabilities"

16 / 16 papers shown

Title
LeDex: Training LLMs to Better Self-Debug and Explain Code Nan Jiang Xiaopeng Li Shiqi Wang Qiang Zhou Soneya Binta Hossain Baishakhi Ray Varun Kumar Xiaofei Ma Anoop Deoras LRM 142 16 0 17 Feb 2025
SoK: Towards Effective Automated Vulnerability Repair Ying Li Faysal hossain shezan Bomin wei Gang Wang Yuan Tian 169 2 0 31 Jan 2025
Large Language Models for Cyber Security: A Systematic Literature Review HanXiang Xu Shenao Wang Ningke Li Kaidi Wang Yanjie Zhao Kai Chen Ting Yu Yang Liu Haoyu Wang 109 40 0 08 May 2024
GitHub Copilot AI pair programmer: Asset or Liability? Arghavan Moradi Dakhel Vahid Majdinasab Amin Nikanjam Foutse Khomh Michel C. Desmarais Zhen Ming Z. Jiang 80 354 0 30 Jun 2022
The Race to the Vulnerable: Measuring the Log4j Shell Incident Raphael Hiesgen Marcin Nawrocki T. Schmidt Matthias Wählisch 62 41 0 05 May 2022
InCoder: A Generative Model for Code Infilling and Synthesis Daniel Fried Armen Aghajanyan Jessy Lin Sida I. Wang Eric Wallace Freda Shi Ruiqi Zhong Wen-tau Yih Luke Zettlemoyer M. Lewis SyDa 69 647 0 12 Apr 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq Joty Guosheng Lin 289 1,580 0 02 Sep 2021
CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software G. Bhandari Amara Naseer Leon Moonen 60 157 0 19 Jul 2021
Evaluating Large Language Models Trained on Code Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Pondé ... Bob McGrew Dario Amodei Sam McCandlish Ilya Sutskever Wojciech Zaremba ELM ALM 231 5,539 0 07 Jul 2021
A Syntax-Guided Edit Decoder for Neural Program Repair Qihao Zhu Zeyu Sun Yuan-an Xiao Wenjie Zhang Kang Yuan Y. Xiong Lu Zhang KELM 92 221 0 15 Jun 2021
Unified Pre-training for Program Understanding and Generation Wasi Uddin Ahmad Saikat Chakraborty Baishakhi Ray Kai-Wei Chang 132 766 0 10 Mar 2021
GraphCodeBERT: Pre-training Code Representations with Data Flow Daya Guo Shuo Ren Shuai Lu Zhangyin Feng Duyu Tang ... Dawn Drain Neel Sundaresan Jian Yin Daxin Jiang M. Zhou 142 1,134 0 17 Sep 2020
CodeBERT: A Pre-Trained Model for Programming and Natural Languages Zhangyin Feng Daya Guo Duyu Tang Nan Duan Xiaocheng Feng ... Linjun Shou Bing Qin Ting Liu Daxin Jiang Ming Zhou 162 2,637 0 19 Feb 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 439 20,181 0 23 Oct 2019
A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software Serena Elisa Ponta H. Plate A. Sabetta M. Bezzi Cédric Dangremont 41 123 0 07 Feb 2019
SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair Zimin Chen Steve Kommrusch Michele Tufano L. Pouchet Denys Poshyvanyk Monperrus Martin KELM 68 439 0 24 Dec 2018

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