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Toward Fine-Grained Forgetting:Attribute Unlearning for Multimodal Large Language Models
Multimodal large language models (MLLMs) can memorize and disclose sensitive information, motivating machine unlearning to remove designated knowledge while preserving model utility. Existing privacy-oriented benchmarks mainly study profile-level deletion, whereas practical requests often require fi
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