An Empirical Study of Deep Learning Models for Vulnerability Detection

15 December 2022

Papers citing "An Empirical Study of Deep Learning Models for Vulnerability Detection"

32 / 32 papers shown

Title
LLMpatronous: Harnessing the Power of LLMs For Vulnerability Detection Rajesh Yarra 39 0 0 25 Apr 2025
Validating Network Protocol Parsers with Traceable RFC Document Interpretation Mingwei Zheng Danning Xie Qingkai Shi Chengpeng Wang X. Zhang 67 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
Similar but Patched Code Considered Harmful -- The Impact of Similar but Patched Code on Recurring Vulnerability Detection and How to Remove Them Zixuan Tan Jiayuan Zhou Xing Hu Shengyi Pan Kui Liu Xin Xia 42 0 0 31 Dec 2024
MVD: A Multi-Lingual Software Vulnerability Detection Framework Boyu Zhang T. H. Le M. Babar 62 0 0 09 Dec 2024
StagedVulBERT: Multi-Granular Vulnerability Detection with a Novel Pre-trained Code Model Yuan Jiang Yujian Zhang Xiaohong Su Christoph Treude Tiantian Wang 38 0 0 08 Oct 2024
Vulnerability Detection via Topological Analysis of Attention Maps Pavel Snopov Andrey Nikolaevich Golubinskiy 14 0 0 04 Oct 2024
Enhancing Pre-Trained Language Models for Vulnerability Detection via Semantic-Preserving Data Augmentation Weiliang Qi Jiahao Cao Darsh Poddar Sophia Li Xinda Wang 16 0 0 30 Sep 2024
CLNX: Bridging Code and Natural Language for C/C++ Vulnerability-Contributing Commits Identification Zeqing Qin Yiwei Wu Lansheng Han 25 0 0 11 Sep 2024
Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection Niklas Risse Marcel Bohme Marcel Böhme 27 4 0 23 Aug 2024
Automatic Data Labeling for Software Vulnerability Prediction Models: How Far Are We? Triet Huynh Muhammad Ali Babar 19 2 0 25 Jul 2024
Security Vulnerability Detection with Multitask Self-Instructed Fine-Tuning of Large Language Models Aidan Z. H. Yang Haoye Tian He Ye Ruben Martins Claire Le Goues 21 5 0 09 Jun 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
Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT T. H. Le Muhammad Ali Babar Tung Hoang Thai 19 7 0 26 Apr 2024
AI for DevSecOps: A Landscape and Future Opportunities Michael Fu Jirat Pasuksmit C. Tantithamthavorn 25 6 0 07 Apr 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
Vulnerability Detection with Code Language Models: How Far Are We? Yangruibo Ding Yanjun Fu Omniyyah Ibrahim Chawin Sitawarin Xinyun Chen Basel Alomair David A. Wagner Baishakhi Ray Yizheng Chen AAML 36 43 0 27 Mar 2024
Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems Sicong Cao Xiaobing Sun Xiaoxue Wu David Lo Lili Bo Bin Li Wei Liu AAML 22 12 0 26 Jan 2024
Your Instructions Are Not Always Helpful: Assessing the Efficacy of Instruction Fine-tuning for Software Vulnerability Detection Imam Nur Bani Yusuf Lingxiao Jiang AAML 36 3 0 15 Jan 2024
A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Software Engineering Tasks Wentao Zou Qi Li Jidong Ge Chuanyi Li Xiaoyu Shen LiGuo Huang Bin Luo 24 5 0 25 Dec 2023
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
How Far Have We Gone in Vulnerability Detection Using Large Language Models Zeyu Gao Hao Wang Yuchen Zhou Wenyu Zhu Chao Zhang 16 17 0 21 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 25 13 0 27 Oct 2023
Towards Causal Deep Learning for Vulnerability Detection Md. Mahbubur Rahman Ira Ceka Chengzhi Mao Saikat Chakraborty Baishakhi Ray Wei Le 11 10 0 12 Oct 2023
CompVPD: Iteratively Identifying Vulnerability Patches Based on Human Validation Results with a Precise Context Tianyu Chen Lin Li Taotao Qian Jingyi Liu Wei Yang Ding Li Guangtai Liang Qianxiang Wang Tao Xie 16 0 0 04 Oct 2023
DefectHunter: A Novel LLM-Driven Boosted-Conformer-based Code Vulnerability Detection Mechanism Jin Wang Zishan Huang Hengli Liu Nianyi Yang Yinhao Xiao 25 17 0 27 Sep 2023
Using ChatGPT as a Static Application Security Testing Tool Atieh Bakhshandeh Abdalsamad Keramatfar Amir Norouzi Mohammad Mahdi Chekidehkhoun 21 13 0 28 Aug 2023
Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection Niklas Risse Marcel Bohme AAML 56 21 0 28 Jun 2023
DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection Yizheng Chen Zhoujie Ding Lamya Alowain Xinyun Chen David A. Wagner AAML 15 122 0 01 Apr 2023
Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection Benjamin Steenhoek Hongyang Gao Wei Le 19 27 0 15 Dec 2022
VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection Hazim Hanif S. Maffeis 58 92 0 25 May 2022
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Shuai Lu Daya Guo Shuo Ren Junjie Huang Alexey Svyatkovskiy ... Nan Duan Neel Sundaresan Shao Kun Deng Shengyu Fu Shujie Liu ELM 190 853 0 09 Feb 2021