ResearchTrend.AI
Data Quality Issues in Vulnerability Detection Datasets

Data Quality Issues in Vulnerability Detection Datasets

Yuejun Guo
Seifeddine Bettaieb
    AAML
ArXiv (abs)PDFHTML

Papers citing "Data Quality Issues in Vulnerability Detection Datasets"

3 / 3 papers shown
Title
MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation
MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation
Zeming Dong
Qiang Hu
Yuejun Guo
Maxime Cordy
Mike Papadakis
Zhenya Zhang
Yves Le Traon
Jianjun Zhao
57
8
0
06 Oct 2022
D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis
D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis
Yunhui Zheng
Saurabh Pujar
B. Lewis
Luca Buratti
Edward Epstein
Bo Yang
Jim Laredo
Alessandro Morari
Zhong Su
59
131
0
16 Feb 2021
Learning from What We Know: How to Perform Vulnerability Prediction using Noisy Historical Data
Learning from What We Know: How to Perform Vulnerability Prediction using Noisy Historical Data
Aayush Garg
Renzo Degiovanni
Matthieu Jimenez
Maxime Cordy
Mike Papadakis
Yves Le Traon
13
22
0
21 Dec 2020

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.