Introduces MM-Privacy dataset and evaluations showing MLLMs leak sensitive data from images in various tasks, highlighting task inconsistency effects.
arXiv preprint arXiv:2305.06212 , year=
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Proposes covert communications and computations approach for secure LLM-enabled edge networks, with supplementary solutions and a latency-minimization case study under security constraints.
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Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges
Introduces MM-Privacy dataset and evaluations showing MLLMs leak sensitive data from images in various tasks, highlighting task inconsistency effects.