Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness

Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung +1

As deep neural networks (DNNs) are increasingly deployed in sensitive applications, ensuring their security and robustness has become critical. A major threat to DNNs arises from a…