How Effective Are Neural Networks for Fixing Security Vulnerabilities

29 May 2023

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

33 / 33 papers shown

Title
An Empirical Study on the Effectiveness of Large Language Models for Binary Code Understanding Xiuwei Shang Zhenkan Fu Shaoyin Cheng Guoqiang Chen Gangyang Li Li Hu W. Zhang N. Yu 59 0 0 30 Apr 2025
Validating Network Protocol Parsers with Traceable RFC Document Interpretation Mingwei Zheng Danning Xie Qingkai Shi Chengpeng Wang X. Zhang 62 2 0 25 Apr 2025
Large Language Models for Validating Network Protocol Parsers Mingwei Zheng Danning Xie X. Zhang 27 1 0 18 Apr 2025
Using ML filters to help automated vulnerability repairs: when it helps and when it doesn't Maria Camporese Fabio Massacci 19 0 0 09 Apr 2025
Reasoning with LLMs for Zero-Shot Vulnerability Detection Arastoo Zibaeirad Marco Vieira AAML LRM 42 2 0 22 Mar 2025
Benchmarking AI Models in Software Engineering: A Review, Search Tool, and Enhancement Protocol Roham Koohestani Philippe de Bekker M. Izadi VLM 45 0 0 07 Mar 2025
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 82 10 0 17 Feb 2025
LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks Xin Zhou M. Weyssow Ratnadira Widyasari Ting Zhang Junda He Yunbo Lyu Jianming Chang Beiqi Zhang Dan Huang David Lo PILM 146 0 0 10 Feb 2025
SoK: Towards Effective Automated Vulnerability Repair Ying Li Faysal hossain shezan Bomin wei Gang Wang Yuan Tian 109 1 0 31 Jan 2025
Harnessing the Power of LLM to Support Binary Taint Analysis Puzhuo Liu Chengnian Sun Yaowen Zheng Xuan Feng Chuan Qin ... Zhenyang Xu Zhi Li Peng Di Yu Jiang Limin Sun 30 11 0 10 Jan 2025
CODECLEANER: Elevating Standards with A Robust Data Contamination Mitigation Toolkit Jialun Cao Songqiang Chen Wuqi Zhang Hau Ching Lo S. Cheung 28 0 0 16 Nov 2024
From Solitary Directives to Interactive Encouragement! LLM Secure Code Generation by Natural Language Prompting Shigang Liu Bushra Sabir Seung Ick Jang Yuval Kansal Yansong Gao Kristen Moore A. Abuadbba Surya Nepal 22 2 0 18 Oct 2024
RealVul: Can We Detect Vulnerabilities in Web Applications with LLM? Di Cao Yong Liao Xiuwei Shang 26 0 0 10 Oct 2024
Code Vulnerability Repair with Large Language Model using Context-Aware Prompt Tuning Arshiya Khan Guannan Liu Xing Gao KELM 26 1 0 27 Sep 2024
How Well Do Large Language Models Serve as End-to-End Secure Code Producers? Jianian Gong Nachuan Duan Ziheng Tao Zhaohui Gong Yuan Yuan Minlie Huang ELM 19 2 0 20 Aug 2024
Large Language Models for Cyber Security: A Systematic Literature Review HanXiang Xu Shenao Wang Ningke Li Kailong Wang Yanjie Zhao Kai Chen Ting Yu Yang Liu Haoyu Wang 26 23 0 08 May 2024
When LLMs Meet Cybersecurity: A Systematic Literature Review Jie Zhang Haoyu Bu Hui Wen Yu Chen Lun Li Hongsong Zhu 24 36 0 06 May 2024
DLAP: A Deep Learning Augmented Large Language Model Prompting Framework for Software Vulnerability Detection Yanjing Yang Xin Zhou Runfeng Mao Jinwei Xu Lanxin Yang Yu Zhangm Haifeng Shen He Zhang 24 13 0 02 May 2024
An Empirical Study of Automated Vulnerability Localization with Large Language Models Jian Zhang Chong Wang Anran Li Weisong Sun Cen Zhang Wei Ma Yang Liu 31 17 0 30 Mar 2024
Concerned with Data Contamination? Assessing Countermeasures in Code Language Model Jialun Cao Wuqi Zhang S. Cheung 14 15 0 25 Mar 2024
On the effectiveness of Large Language Models for GitHub Workflows Xinyu Zhang Siddharth Muralee Sourag Cherupattamoolayil Aravind Machiry 25 2 0 19 Mar 2024
Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities Yu Nong Mohammed Aldeen Long Cheng Hongxin Hu Feng Chen Haipeng Cai LRM 26 27 0 27 Feb 2024
CodeArt: Better Code Models by Attention Regularization When Symbols Are Lacking Zian Su Xiangzhe Xu Ziyang Huang Zhuo Zhang Yapeng Ye Jianjun Huang Xiangyu Zhang OffRL 35 8 0 19 Feb 2024
CigaR: Cost-efficient Program Repair with LLMs Dávid Hidvégi K. Etemadi Sofia Bobadilla Martin Monperrus 13 20 0 09 Feb 2024
Enhanced Automated Code Vulnerability Repair using Large Language Models David de-Fitero-Dominguez Eva García-López Antonio Garcia-Cabot J. Martínez-Herráiz 11 11 0 08 Jan 2024
Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning Nan Jiang Chengxiao Wang Kevin Liu Xiangzhe Xu Lin Tan Xiangyu Zhang OffRL 25 7 0 22 Nov 2023
Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey Xinyu She Yue Liu Yanjie Zhao Yiling He Li Li C. Tantithamthavorn Zhan Qin Haoyu Wang ELM 22 13 0 27 Oct 2023
LLM for SoC Security: A Paradigm Shift Dipayan Saha Shams Tarek Katayoon Yahyaei S. Saha Jingbo Zhou M. Tehranipoor Farimah Farahmandi 51 41 0 09 Oct 2023
Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives Sihao Hu Tiansheng Huang Fatih İlhan Selim Furkan Tekin Ling Liu 18 45 0 02 Oct 2023
ZeroLeak: Using LLMs for Scalable and Cost Effective Side-Channel Patching M. Tol B. Sunar 16 5 0 24 Aug 2023
Large Language Models for Software Engineering: A Systematic Literature Review Xinying Hou Yanjie Zhao Yue Liu Zhou Yang Kailong Wang Li Li Xiapu Luo David Lo John C. Grundy Haoyu Wang 25 320 0 21 Aug 2023
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 204 1,451 0 02 Sep 2021
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair Nan Jiang Thibaud Lutellier Lin Tan NAI 127 287 0 26 Feb 2021