Existing continual unlearning methods fail to maintain forgetting, retained knowledge, and utility over 100 sequential privacy-deletion tasks in multimodal document models.
Variational bayesian unlearning.Advances in Neural Information Processing Systems, 33:16025–16036
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A contrastive visual forgetting technique constrained to the null space of retained knowledge enables targeted unlearning of visual concepts in MLLMs while preserving non-target visual and all textual knowledge.
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ICU-Bench:Benchmarking Continual Unlearning in Multimodal Large Language Models
Existing continual unlearning methods fail to maintain forgetting, retained knowledge, and utility over 100 sequential privacy-deletion tasks in multimodal document models.
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Null Space Constrained Contrastive Visual Forgetting for MLLM Unlearning
A contrastive visual forgetting technique constrained to the null space of retained knowledge enables targeted unlearning of visual concepts in MLLMs while preserving non-target visual and all textual knowledge.