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
· arXiv.org · 0 citations