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A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software

7 February 2019

Papers citing "A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software"

32 / 32 papers shown

Title
Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches Ranindya Paramitha Yuan Feng Fabio Massacci MLAU 20 0 0 13 Jun 2025
AI-Based Software Vulnerability Detection: A Systematic Literature Review Samiha Shimmi Hamed Okhravi Mona Rahimi 112 0 0 12 Jun 2025
VADER: A Human-Evaluated Benchmark for Vulnerability Assessment, Detection, Explanation, and Remediation Ethan TS. Liu Austin Wang Spencer Mateega Carlos Georgescu Danny Tang ELM 37 0 0 26 May 2025
Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering Hamed Jelodar Samita Bai Parisa Hamedi Hesamodin Mohammadian R. Razavi-Far Ali Ghorbani 79 2 0 07 Apr 2025
Vulnerability Detection: From Formal Verification to Large Language Models and Hybrid Approaches: A Comprehensive Overview Norbert Tihanyi Tamás Bisztray M. Ferrag Bilel Cherif Richard A. Dubniczky Ridhi Jain Lucas C. Cordeiro 108 1 0 13 Mar 2025
SoK: Towards Effective Automated Vulnerability Repair Ying Li Faysal hossain shezan Bomin wei Gang Wang Yuan Tian 201 2 0 31 Jan 2025
Is Your AI-Generated Code Really Safe? Evaluating Large Language Models on Secure Code Generation with CodeSecEval Jiexin Wang Xitong Luo Liuwen Cao Hongkui He Hailin Huang Jiayuan Xie Adam Jatowt Yi Cai ELM 72 17 0 02 Jul 2024
On the Effectiveness of Machine Learning-based Call Graph Pruning: An Empirical Study A. Mir Mehdi Keshani Sebastian Proksch 45 1 0 11 Feb 2024
Finetuning Large Language Models for Vulnerability Detection Alexey Shestov Rodion Levichev Ravil Mussabayev Evgeny Maslov Anton Cheshkov Pavel Zadorozhny 80 31 0 30 Jan 2024
VFCFinder: Seamlessly Pairing Security Advisories and Patches T. Dunlap Elizabeth Lin William Enck Bradley Reaves 39 4 0 02 Nov 2023
Enhancing Large Language Models for Secure Code Generation: A Dataset-driven Study on Vulnerability Mitigation Jiexin Wang Liuwen Cao Xitong Luo Zhiping Zhou Jiayuan Xie Adam Jatowt Yi Cai 64 14 0 25 Oct 2023
How well does LLM generate security tests? Ying Zhang Wen-Kai Song Zhengjie Ji Danfeng D. Yao Na Meng 65 36 0 01 Oct 2023
Exploring Security Commits in Python Shiyu Sun Shu Wang Xinda Wang Yunlong Xing Elisa Zhang Kun Sun 44 2 0 21 Jul 2023
Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection Niklas Risse Marcel Bohme AAML 140 32 0 28 Jun 2023
How Effective Are Neural Networks for Fixing Security Vulnerabilities Yi Wu Nan Jiang H. Pham Thibaud Lutellier Jordan Davis Lin Tan Petr Babkin Sameena Shah AAML 99 97 0 29 May 2023
Sequential Graph Neural Networks for Source Code Vulnerability Identification Ammar Ahmed Anwar Said Mudassir Shabbir X. Koutsoukos GNN 41 2 0 23 May 2023
Multi-Granularity Detector for Vulnerability Fixes Truong-Giang Nguyen Thanh Le-Cong Hong Jin Kang Ratnadira Widyasari Chengran Yang ... Jiayuan Zhou Xin Xia A. Hassan X. Le David Lo 54 19 0 23 May 2023
LLMSecEval: A Dataset of Natural Language Prompts for Security Evaluations Catherine Tony Markus Mutas Nicolás E. Díaz Ferreyra Riccardo Scandariato ELM 52 50 0 16 Mar 2023
Silent Vulnerable Dependency Alert Prediction with Vulnerability Key Aspect Explanation Jiamou Sun Zhenchang Xing Qinghua Lu Xiwei Xu Liming Zhu Thong Hoang Dehai Zhao 72 15 0 15 Feb 2023
Early Detection of Security-Relevant Bug Reports using Machine Learning: How Far Are We? Arthur D. Sawadogo Quentin Guimard Tegawende F. Bissyande Abdoul Kader Kaboré Jacques Klein Naouel Moha 33 7 0 19 Dec 2021
Tracking Patches for Open Source Software Vulnerabilities Congying Xu Bihuan Chen Chenhao Lu Kaifeng Huang Xin Peng Yang Liu 41 30 0 04 Dec 2021
A Survey on Machine Learning Techniques for Source Code Analysis Tushar Sharma M. Kechagia Stefanos Georgiou Rohit Tiwari Indira Vats Hadi Moazen Federica Sarro 83 65 0 18 Oct 2021
DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning T. H. Le David Hin Roland Croft Muhammad Ali Babar 64 56 0 18 Aug 2021
Few-Sample Named Entity Recognition for Security Vulnerability Reports by Fine-Tuning Pre-Trained Language Models Guanqun Yang Shay Dineen Zhipeng Lin Xueqing Liu AAML 66 15 0 14 Aug 2021
CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software G. Bhandari Amara Naseer Leon Moonen 70 166 0 19 Jul 2021
Fixing Vulnerabilities Potentially Hinders Maintainability Sofia Reis Rui Abreu Luís Cruz 34 3 0 06 Jun 2021
Detecting Security Fixes in Open-Source Repositories using Static Code Analyzers Therese Fehrer Rocío Cabrera Lozoya A. Sabetta Dario Di Nucci Damian Tamburri 6 3 0 07 May 2021
Neural Transfer Learning for Repairing Security Vulnerabilities in C Code Zimin Chen Steve Kommrusch Monperrus Martin 91 127 0 16 Apr 2021
Automated Mapping of Vulnerability Advisories onto their Fix Commits in Open Source Repositories Daan Hommersom A. Sabetta Bonaventura Coppola Dario Di Nucci Damian Tamburri 62 10 0 24 Mar 2021
SeqTrans: Automatic Vulnerability Fix via Sequence to Sequence Learning Jianlei Chi YunHuan Qu Ting Liu Q. Zheng Heng Yin 91 57 0 21 Oct 2020
Commit2Vec: Learning Distributed Representations of Code Changes Rocío Cabrera Lozoya Arnaud Baumann A. Sabetta M. Bezzi SSL 89 45 0 18 Nov 2019
Exploiting Token and Path-based Representations of Code for Identifying Security-Relevant Commits Achyudh Ram Ji Xin M. Nagappan Yaoliang Yu Rocío Cabrera Lozoya A. Sabetta Jimmy J. Lin 29 3 0 15 Nov 2019