2025
RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical features
UAI 2025
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 former