v1v2 (latest)

Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection

USENIX Security Symposium (USENIX Security), 2023

28 June 2023

Papers citing "Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection"

25 / 25 papers shown

Title
VULPO: Context-Aware Vulnerability Detection via On-Policy LLM Optimization Youpeng Li Fuxun Yu Xinda Wang OffRL 112 0 0 14 Nov 2025
Real-VulLLM: An LLM Based Assessment Framework in the Wild Rijha Safdar Danyail Mateen Syed Taha Ali Wajahat Hussain 88 0 0 05 Oct 2025
From CVE Entries to Verifiable Exploits: An Automated Multi-Agent Framework for Reproducing CVEs Saad Ullah Praneeth Balasubramanian Wenbo Guo Amanda Burnett Hammond Pearce Christopher Kruegel Giovanni Vigna Gianluca Stringhini 149 3 0 01 Sep 2025
Data and Context Matter: Towards Generalizing AI-based Software Vulnerability Detection Rijha Safdar Danyail Mateen Syed Taha Ali M. Umer Ashfaq Wajahat Hussain 136 1 0 14 Aug 2025
Think Broad, Act Narrow: CWE Identification with Multi-Agent Large Language Models Mohammed Sayagh Mohammad Ghafari AAML 82 0 0 02 Aug 2025
Out of Distribution, Out of Luck: How Well Can LLMs Trained on Vulnerability Datasets Detect Top 25 CWE Weaknesses? Yikun Li Ngoc Tan Bui Ting Zhang Martin Weyssow Chengran Yang ... Han Wei Ang Frank Liauw Eng Lieh Ouh Lwin Khin Shar David Lo AAML 386 1 0 29 Jul 2025
Revisiting Pre-trained Language Models for Vulnerability Detection Youpeng Li Weiliang Qi Xuyu Wang Fuxun Yu Xinda Wang AAML 160 1 0 22 Jul 2025
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 157 0 0 13 Jun 2025
A Multi-Dataset Evaluation of Models for Automated Vulnerability RepairARES (ARES), 2025 Zanis Ali Khan Aayush Garg Qiang Tang 275 1 0 05 Jun 2025
SV-TrustEval-C: Evaluating Structure and Semantic Reasoning in Large Language Models for Source Code Vulnerability AnalysisIEEE Symposium on Security and Privacy (S&P), 2025 Yansong Li Paula Branco Alexander M. Hoole Manish Marwah Hari Manassery Koduvely Guy-Vincent Jourdan Stephan Jou ELM LRM 134 6 0 27 May 2025
Let the Trial Begin: A Mock-Court Approach to Vulnerability Detection using LLM-Based Agents Ratnadira Widyasari Martin Weyssow Ivana Clairine Irsan Han Wei Ang Frank Liauw Eng Lieh Ouh Lwin Khin Shar Hong Jin Kang David Lo LLMAG 275 6 0 16 May 2025
Poster: Machine Learning for Vulnerability Detection as Target Oracle in Automated Fuzz Driver GenerationInternational Conference on Detection of intrusions and malware, and vulnerability assessment (DIMVA), 2025 Gianpietro Castiglione Marcello Maugeri G. Bella 114 0 0 02 May 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 207 2 0 18 Apr 2025
Semantic-Preserving Transformations as Mutation Operators: A Study on Their Effectiveness in Defect Detection Max Hort Linas Vidziunas Leon Moonen 215 1 0 30 Mar 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 200 7 0 13 Mar 2025
Benchmarking LLMs and LLM-based Agents in Practical Vulnerability Detection for Code RepositoriesAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Alperen Yildiz Sin G. Teo Yiling Lou Yebo Feng Chong Wang Dinil M. Divakaran 377 12 0 05 Mar 2025
LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks Xin Zhou Martin Weyssow Ratnadira Widyasari Ting Zhang Junda He Yunbo Lyu Jianming Chang Beiqi Zhang Dan Huang David Lo PILM 945 26 0 10 Feb 2025
How Should We Build A Benchmark? Revisiting 274 Code-Related Benchmarks For LLMs Jialun Cao Yuk-Kit Chan Zixuan Ling Wenxuan Wang Shuqing Li ... Pinjia He Shuai Wang Zibin Zheng Michael R. Lyu Shing-Chi Cheung ALM 581 2 0 18 Jan 2025
Software Security Analysis in 2030 and Beyond: A Research RoadmapACM Transactions on Software Engineering and Methodology (TOSEM), 2024 Marcel Böhme Eric Bodden Tevfik Bultan Cristian Cadar Yang Liu Giuseppe Scanniello 201 6 0 26 Sep 2024
Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection Niklas Risse Marcel Bohme Marcel Böhme 235 20 0 23 Aug 2024
An Empirical Study on Capability of Large Language Models in Understanding Code Semantics Thu-Trang Nguyen Thanh Trong Vu H. Vo Son Nguyen ELM 191 7 0 04 Jul 2024
Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG Xueying Du Geng Zheng Kaixin Wang Yi Zou Wentai Deng ... Mingwei Liu Bihuan Chen Xin Peng Tao Ma Yiling Lou 253 76 0 17 Jun 2024
Vulnerability Detection with Code Language Models: How Far Are We? Yangruibo Ding Yanjun Fu Omniyyah Ibrahim Chawin Sitawarin Xinyun Chen Basel Alomair David Wagner Baishakhi Ray Yizheng Chen AAML 229 133 0 27 Mar 2024
Evaluating Program Repair with Semantic-Preserving Transformations: A Naturalness Assessment Thanh Le-Cong Dat Nguyen Bach Le Toby Murray 131 1 0 19 Feb 2024
LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks Saad Ullah Mingji Han Saurabh Pujar Hammond Pearce Ayse K. Coskun Gianluca Stringhini ELM LRM 221 122 0 19 Dec 2023