D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis

16 February 2021

Papers citing "D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis"

8 / 8 papers shown

Title
Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems Sicong Cao Xiaobing Sun Xiaoxue Wu David Lo Lili Bo Bin Li Wei Liu AAML 34 12 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
Detecting software vulnerabilities using Language Models Marwan Omar 37 11 0 23 Feb 2023
An Empirical Study of Deep Learning Models for Vulnerability Detection Benjamin Steenhoek Md. Mahbubur Rahman Richard Jiles Wei Le ELM AAML 38 79 0 15 Dec 2022
Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection Benjamin Steenhoek Hongyang Gao Wei Le 43 28 0 15 Dec 2022
Data-Driven AI Model Signal-Awareness Enhancement and Introspection Sahil Suneja Yufan Zhuang Yunhui Zheng Jim Laredo Alessandro Morari SyDa 32 1 0 10 Nov 2021
CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software G. Bhandari Amara Naseer Leon Moonen 35 134 0 19 Jul 2021
Probing Model Signal-Awareness via Prediction-Preserving Input Minimization Sahil Suneja Yunhui Zheng Yufan Zhuang Jim Laredo Alessandro Morari AAML 32 33 0 25 Nov 2020