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cs.LG2026
Target-free Latent Safety Alignment
Luoyu Chen, Weiqi Wang, Chenhan Zhang +3
Large language models (LLMs) remain highly vulnerable to jailbreak attacks that induce harmful behaviors and circumvent safety alignment. To defend against such attacks, adversaria…
cs.LG2026
Approximate Machine Unlearning through Manifold Representation Forgetting Guided by Self Mode Connectivity
Weiqi Wang, Zhiyi Tian, Chenhan Zhang +2
Machine unlearning is a fundamental mechanism that enforces the right to be forgotten. Existing unlearning studies that rely on label manipulation or task-gradient reversal often d…
cs.LG2026
EVE: Efficient Verification of Data Erasure through Customized Perturbation in Approximate Unlearning
Weiqi Wang, Zhiyi Tian, Chenhan Zhang +2
Verifying whether the machine unlearning process has been properly executed is critical but remains underexplored. Some existing approaches propose unlearning verification methods…