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Si-Qi Goh

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#machine learning Preprint Oct 2026

SIEVE: Selective attention-value Suppression for Vision-Language Models Unlearning

The ability of vision-language models (VLMs) to associate visual identities with biographical information creates a need for selective unlearning of personally identifiable information (PII) while preserving permitted knowledge about the same individual. This setting is challenging because both sensitive and retained i...

Si-Qi Goh, Cap Dang Xuan Kiet, Tat-Jen Cham et al. · 0 citations