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News/SIEVE: Selective attention-value Suppression for Vision-Language Models Unlearning
arxiv
PublishedOctober 3, 2026 at 4:00 AM
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SIEVE: Selective attention-value Suppression for Vision-Language Models Unlearning

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arXiv:2610.01962v1 Announce Type: new Abstract: 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 individua

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