2 papers
cs.CR2026
VulValidate: Auditing Function-Level Vulnerability Labels with Executable Evidence
Leizhen Zhang, Sheng Chen
Reliable learning-based vulnerability detection requires high-quality labels, yet datasets built from vulnerability-fixing commits may label functions as vulnerable simply because…
cs.LG2025
BLIA: Detect model memorization in binary classification model through passive Label Inference attack
Mohammad Wahiduzzaman Khan, Sheng Chen, Ilya Mironov +2
Model memorization has implications for both the generalization capacity of machine learning models and the privacy of their training data. This paper investigates label memorizati…