Exploring Sparsity and Smoothness of Arbitrary Lp Norms in Adversarial Attacks

This paper studies how different Lp norms affect the sparsity and smoothness of adversarial perturbations, which could improve the effectiveness of attacks on machine learning models.

Auto-scored: Academic research on adversarial attack methods represents a minor capability risk with no immediate misuse.