Author

Hongcheng Guo

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Jul 2026

DECAF: De-Clustering for Adaptive Representational Unlearning

DECAF (DE-Clustering for Adaptive Forgetting), a post-hoc method that operates only on the forget set and is designed to break the cluster, is proposed, which attains performance comparable to that of unlearning methods that use the full training set, while being significantly more efficient.

Anjie Le, Can Peng, Hongcheng Guo et al. · arXiv.org · 0 citations