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From Standard to Robust: A Universal Framework for Continual Adversarial Defense

This work proposes Universal Continual Adversarial Defense (UCAD), a universal framework that enables both standard and robust models to perform effective defense under the CAD setting and observes that as the number of encountered attacks increases, UCAD becomes increasingly robust, consistently enhancing the defense capability of existing robust models until saturation.

Qian Wang, Hefei Ling, Yingwei Li et al. · 0 citations