
Proposing a Continual Adversarial Defense (CAD) framework to adapt to dynamic attacks, emphasizing few-shot feedback and memory-efficient adaptation.


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continual-adversarial-defense-framework-for-dynamic-attacks


Continual Adversarial Defense Framework for Dynamic Attacks


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提案されたMPAT（Malicious Perturbation based Adversarial Training）は、テキストの敵対的攻撃に対して堅牢な深層ニューラルネットワークを構築する方法です。


mpat-building-robust-deep-neural-networks-against-textual-adversarial-attacks


MPAT: Building Robust Deep Neural Networks against Textual Adversarial Attacks



Proposing MPAT for robust neural networks against textual adversarial attacks.
