Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection

28 June 2023

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

16 / 16 papers shown

Title
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 19 0 0 16 May 2025
Poster: Machine Learning for Vulnerability Detection as Target Oracle in Automated Fuzz Driver Generation Gianpietro Castiglione Marcello Maugeri G. Bella 30 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 29 0 0 18 Apr 2025
Semantic-Preserving Transformations as Mutation Operators: A Study on Their Effectiveness in Defect Detection Max Hort Linas Vidziunas Leon Moonen 54 0 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 40 0 0 13 Mar 2025
Benchmarking LLMs and LLM-based Agents in Practical Vulnerability Detection for Code Repositories Alperen Yildiz Sin G. Teo Yiling Lou Yebo Feng Chong Wang Dinil M. Divakaran 56 0 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 297 1 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 71 1 0 18 Jan 2025
Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection Niklas Risse Marcel Bohme Marcel Böhme 51 4 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 42 2 0 04 Jul 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 49 45 0 27 Mar 2024
Evaluating Program Repair with Semantic-Preserving Transformations: A Naturalness Assessment Thanh Le-Cong Dat Nguyen Bach Le Toby Murray 26 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 21 61 0 19 Dec 2023
VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection Hazim Hanif S. Maffeis 66 95 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 204 853 0 09 Feb 2021
Semantic Robustness of Models of Source Code Goutham Ramakrishnan Jordan Henkel Zi Wang Aws Albarghouthi S. Jha Thomas W. Reps SILM AAML 41 97 0 07 Feb 2020