2 papers
cs.LG2025
RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical features
Jialei Song, Xingquan Zuo, Feiyang Wang +2
Deep neural networks (DNNs) are highly susceptible to adversarial samples, raising concerns about their reliability in safety-critical tasks. Currently, methods of evaluating adver…
cs.LG2024
ADBA:Approximation Decision Boundary Approach for Black-Box Adversarial Attacks
Feiyang Wang, Xingquan Zuo, Hai Huang +1
Many machine learning models are susceptible to adversarial attacks, with decision-based black-box attacks representing the most critical threat in real-world applications. These a…