Hanxun Huang

Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks

2025

As deep learning models are increasingly deployed in safety-critical applications, evaluating their vulnerabilities to adversarial perturbations is essential for ensuring their reliability and trustworthiness. Over the past decade, a large number of white-box adversarial robustness …