Generalizable Data-Free Objective for Crafting Universal Adversarial Perturbations

摘要

Machine learning models are susceptible to adversarial perturbations: small changes to input that can cause large changes in output. It is also demonstrated that there exist input-agnostic perturbations, called universal adversarial perturbations, which c