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Author

Xuan Wang

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Preprint Sep 2026

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: noise-prediction U-Net...

Hong Xi Tae, Jia-Ming Zhang, Wen-Wen He et al. · 0 citations
Review Aug 2026

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle

This survey examines the protective paradigm that has grown around this intervention point, and finds that most protections are still validated mainly against static or weakly adaptive adversaries, while evidence beyond controlled benchmarks remains scarce.

Jiaming Zhang, Bo-Yang Chen, Zhe-Rui Li et al. · 0 citations

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