AIBearisharXiv – CS AI · 18h ago7/10
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Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges
Researchers have identified significant privacy vulnerabilities in Multi-modal Large Language Models (MLLMs) that process both text and images, revealing these systems can leak sensitive information embedded in images or retained in memory. The study introduces MM-Privacy, a comprehensive dataset for evaluating privacy risks across multi-modal tasks, and demonstrates that task inconsistency contributes substantially to data exposure risks.