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Yi-Ting Hu

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Jun 2026

Theory of Continual Learning Against Data Poisoning Attacks

A theoretical framework to analyze strategic attacks and defenses in regularization-based CL, a cornerstone of recent CL theory, is developed and a robust defense is derived that minimizes the model's sensitivity to poisoned features, provably accelerating the convergence rate.

Yiting Hu, Lingjie Duan · 0 citations

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