Shengjie Xu

FastJSMA: Accelerating Jacobian-based Saliency Map Attacks through Gradient Decoupling

Adversarial attack plays a critical role in evaluating the robustness of deep learning models. Jacobian-based Saliency Map Attack (JSMA) is an interpretable adversarial method that offers excellent pixel-level control and provides valuable insights into model vulnerabilities. However, its quadratic…