Similar but Patched Code Considered Harmful -- The Impact of Similar but Patched Code on Recurring Vulnerability Detection and How to Remove Them

31 December 2024

Papers citing "Similar but Patched Code Considered Harmful -- The Impact of Similar but Patched Code on Recurring Vulnerability Detection and How to Remove Them"

7 / 7 papers shown

Title
An Empirical Study of Deep Learning Models for Vulnerability Detection Benjamin Steenhoek Md. Mahbubur Rahman Richard Jiles Wei Le ELM AAML 83 89 0 15 Dec 2022
VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection Hazim Hanif S. Maffeis 120 112 0 25 May 2022
Vulnerability Detection with Fine-grained Interpretations Yi Li Shaohua Wang Tien N Nguyen AAML 102 228 0 19 Jun 2021
VulDeeLocator: A Deep Learning-based Fine-grained Vulnerability Detector Zhuguo Li Deqing Zou Shouhuai Xu Zhaoxuan Chen Yawei Zhu Hai Jin 77 191 0 08 Jan 2020
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks Yaqin Zhou Shangqing Liu J. Siow Xiaoning Du Yang Liu GNN 80 780 0 08 Sep 2019
Hey Google, What Exactly Do Your Security Patches Tell Us? A Large-Scale Empirical Study on Android Patched Vulnerabilities Sadegh Farhang Mehmet Bahadir Kirdan Aron Laszka Jens Grossklags ELM 38 23 0 22 May 2019
SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities Zerui Li Deqing Zou Shouhuai Xu Hai Jin Yawei Zhu Zhaoxuan Chen 77 520 0 18 Jul 2018