Introduces MM-Privacy dataset and evaluations showing MLLMs leak sensitive data from images in various tasks, highlighting task inconsistency effects.
arXiv preprint arXiv:2209.10505 , year=
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Proposes MC-GRA attack and MC-GPB defense for graph reconstruction from GNNs via Markov chain approximation of topology-dependent representations, showing improved attack fidelity and reduced leakage with minor accuracy cost.
citing papers explorer
-
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.
-
Beyond Homophily: Towards Generalized Graph Reconstruction Attack and Defense
Proposes MC-GRA attack and MC-GPB defense for graph reconstruction from GNNs via Markov chain approximation of topology-dependent representations, showing improved attack fidelity and reduced leakage with minor accuracy cost.