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Concept Score Relearning: A Unified Cross-Architecture Attack on Concept Erasure
Concept erasure aims to suppress undesirable knowledge in text-to-image generative models. However, existing robustness evaluations typically rely on relearning attacks tailored to specific model architectures. We study concept reactivation across two substantially different generative paradigms: no
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