Xingquan Zuo

RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical features

2025 · arXiv (Cornell University)

Deep neural networks (DNNs) are highly susceptible to adversarial samples, raising concerns about their reliability in safety-critical tasks. Currently, methods of evaluating adversarial robustness are primarily categorized into attack-based and certified robustness evaluation approaches. The …