Learning Transferable Adversarial Robust Representations via Multi-view Consistency

no code implementations • 19 Oct 2022 • Minseon Kim, Hyeonjeong Ha, Dong Bok Lee, Sung Ju Hwang

Despite the success on few-shot learning problems, most meta-learned models only focus on achieving good performance on clean examples and thus easily break down when given adversarially perturbed samples.

Adversarial Attack Adversarial Robustness +4