Vulnerability Detection with Fine-grained Interpretations

19 June 2021

Papers citing "Vulnerability Detection with Fine-grained Interpretations"

50 / 56 papers shown

Title
A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Seyed Shayan Daneshvar Da Tan Shaowei Wang Carson Leung AAML 69 0 0 22 Apr 2025
Trace Gadgets: Minimizing Code Context for Machine Learning-Based Vulnerability Prediction Felix Mächtle Nils Loose Tim Schulz Florian Sieck Jan-Niclas Serr Ralf Möller T. Eisenbarth 29 0 0 18 Apr 2025
Using ML filters to help automated vulnerability repairs: when it helps and when it doesn't Maria Camporese Fabio Massacci 29 0 0 09 Apr 2025
Software Vulnerability Analysis Across Programming Language and Program Representation Landscapes: A Survey Zhuoyun Qian Fangtian Zhong Qin Hu Yili Jiang Jiaqi Huang Mengfei Ren Jiguo Yu 68 0 0 26 Mar 2025
GNN-Coder: Boosting Semantic Code Retrieval with Combined GNNs and Transformer Yufan Ye Pu Pang Ting Zhang Hua Huang 71 0 0 24 Feb 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 47 0 0 31 Dec 2024
MVD: A Multi-Lingual Software Vulnerability Detection Framework Boyu Zhang T. H. Le M. Babar 74 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 47 0 0 08 Oct 2024
Unintentional Security Flaws in Code: Automated Defense via Root Cause Analysis Nafis Tanveer Islam Mazal Bethany Dylan Manuel Murtuza Jadliwala Peyman Najafirad 33 0 0 30 Aug 2024
ANVIL: Anomaly-based Vulnerability Identification without Labelled Training Data Weizhou Wang Eric Liu Xiangyu Guo Xiao Hu Ilya Grishchenko David Lie 30 1 0 28 Aug 2024
Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection Niklas Risse Marcel Bohme Marcel Böhme 48 4 0 23 Aug 2024
Automatic Data Labeling for Software Vulnerability Prediction Models: How Far Are We? Triet Huynh Muhammad Ali Babar 36 2 0 25 Jul 2024
Automated Code-centric Software Vulnerability Assessment: How Far Are We? An Empirical Study in C/C++ Anh The Nguyen T. H. Le Muhammad Ali Babar 34 2 0 24 Jul 2024
Vulnerability-Hunter: An Adaptive Feature Perception Attention Network for Smart Contract Vulnerabilities Yizhou Chen 30 1 0 07 Jul 2024
Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic Datasets Partha Chakraborty Krishna Kanth Arumugam Mahmoud Alfadel Meiyappan Nagappan Shane McIntosh 22 1 0 03 Jul 2024
SimClone: Detecting Tabular Data Clones using Value Similarity Xu Yang Gopi Krishnan Rajbahadur Dayi Lin Shaowei Wang Zhen Ming Jiang 30 1 0 24 Jun 2024
MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representation Chao Ni Liyu Shen Xiaohu Yang Yan Zhu Shaohua Wang 24 13 0 18 Jun 2024
An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection Shenao Yan Shen Wang Yue Duan Hanbin Hong Kiho Lee Doowon Kim Yuan Hong AAML SILM 43 17 0 10 Jun 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 46 5 0 09 Jun 2024
Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning Xiaohu Du Ming Wen Jiahao Zhu Zifan Xie Bin Ji Huijun Liu Xuanhua Shi Hai Jin 37 14 0 06 Jun 2024
IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities Ziyang Li Saikat Dutta Mayur Naik 59 44 0 27 May 2024
Path-wise Vulnerability Mitigation Zhen Huang Hristina Dokic 21 0 0 25 May 2024
Vulnerability Detection in C/C++ Code with Deep Learning Zhen Huang Amy Aumpansub 28 0 0 20 May 2024
Improving Smart Contract Security with Contrastive Learning-based Vulnerability Detection Yizhou Chen Zeyu Sun Zhihao Gong Dan Hao AAML 44 14 0 27 Apr 2024
Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT T. H. Le Muhammad Ali Babar Tung Hoang Thai 27 7 0 26 Apr 2024
Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation Zhaoyang Chu Yao Wan Qian Li Yang Wu Hongyu Zhang Yulei Sui Guandong Xu Hai Jin AAML 46 9 0 24 Apr 2024
VulEval: Towards Repository-Level Evaluation of Software Vulnerability Detection Xinjie Wen Xinchen Wang Yujia Chen Ruida Hu David Lo Cuiyun Gao 35 6 0 24 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 39 17 0 30 Mar 2024
SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection Xinjie Wen Cuiyun Gao Shuzheng Gao Yang Xiao Michael R. Lyu 35 5 0 28 Mar 2024
A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks B.K. Casey Joanna C. S. Santos George Perry 63 5 0 15 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
Evaluating Program Repair with Semantic-Preserving Transformations: A Naturalness Assessment Thanh Le-Cong Dat Nguyen Bach Le Toby Murray 26 4 0 19 Feb 2024
Investigating Reproducibility in Deep Learning-Based Software Fault Prediction Adil Mukhtar Dietmar Jannach Franz Wotawa AI4CE 22 0 0 08 Feb 2024
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research Sicong Cao Xiaobing Sun Ratnadira Widyasari David Lo Xiaoxue Wu ... Jiale Zhang Bin Li Wei Liu Di Wu Yixin Chen 33 6 0 26 Jan 2024
Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study T. H. Le Xiaoning Du Muhammad Ali Babar 25 7 0 20 Jan 2024
On the Effectiveness of Function-Level Vulnerability Detectors for Inter-Procedural Vulnerabilities Zhen Li Ning Wang Deqing Zou Yating Li Ruqian Zhang Shouhuai Xu Chao Zhang Hai Jin 30 7 0 18 Jan 2024
Beyond Fidelity: Explaining Vulnerability Localization of Learning-based Detectors Baijun Cheng Shengming Zhao Kailong Wang Meizhen Wang Guangdong Bai Ruitao Feng Yao Guo Lei Ma Haoyu Wang FAtt AAML 34 7 0 05 Jan 2024
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit Yao Wan Yang He Zhangqian Bi Jianguo Zhang Hongyu Zhang Yulei Sui Guandong Xu Hai Jin Philip S. Yu 35 20 0 30 Dec 2023
Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities Avishree Khare Saikat Dutta Ziyang Li Alaia Solko-Breslin Rajeev Alur Mayur Naik ELM 29 40 0 16 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 35 13 0 27 Oct 2023
Good-looking but Lacking Faithfulness: Understanding Local Explanation Methods through Trend-based Testing Jinwen He Kai Chen Guozhu Meng Jiangshan Zhang Congyi Li FAtt AAML 40 2 0 09 Sep 2023
When Less is Enough: Positive and Unlabeled Learning Model for Vulnerability Detection Xinjie Wen Xinche Wang Cuiyun Gao Shaohua Wang Yang Liu Zhaoquan Gu 19 15 0 21 Aug 2023
An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code Max Hort Anastasiia Grishina Leon Moonen 18 2 0 05 Jul 2023
LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types Xinjie Wen Cuiyun Gao Feng Luo Hao Wang Ge Li Qing Liao 38 6 0 12 Jun 2023
UNGOML: Automated Classification of unsafe Usages in Go A. Wickert C. Damke Lars Baumgärtner Eyke Hüllermeier Mira Mezini 18 0 0 01 Jun 2023
AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing Software Vulnerabilities Michael Fu C. Tantithamthavorn Trung Le Yukinori Kume Van Nguyen Dinh Q. Phung John C. Grundy 45 30 0 26 May 2023
Learning to Quantize Vulnerability Patterns and Match to Locate Statement-Level Vulnerabilities Michael Fu Trung Le Van Nguyen C. Tantithamthavorn Dinh Q. Phung 33 3 0 26 May 2023
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 Neel Sundaresan 13 22 0 23 May 2023
Beware of the Unexpected: Bimodal Taint Analysis Yiu Wai Chow Max Schäfer Michael Pradel 23 15 0 25 Jan 2023
An Empirical Study of Deep Learning Models for Vulnerability Detection Benjamin Steenhoek Md. Mahbubur Rahman Richard Jiles Wei Le ELM AAML 26 79 0 15 Dec 2022