Yuan Xin

Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing

As machine learning models are deployed in critical applications, robustness against adversarial perturbations is crucial. While numerous defensive algorithms have been proposed to counter such attacks, they typically assume that all adversarial transformations are equally important, an assumption t…