Introduces MM-Privacy dataset and evaluations showing MLLMs leak sensitive data from images in various tasks, highlighting task inconsistency effects.
Flocks of Stochastic Parrots: Dif- ferentially Private Prompt Learning for Large Language Models.CoRR abs/2305.15594
3 Pith papers cite this work. Polarity classification is still indexing.
years
2026 3verdicts
UNVERDICTED 3representative citing papers
CSLR aligns unordered private replay lists from clients using public anchor sentence signatures, yielding 3.9-5.6 point gains on continual NLP tasks at ε=4 over non-CSLR DP baselines.
PopQuiz Attack infers LLM training data membership by turning examples into quiz questions and measuring answer accuracy, reaching 0.873 average ROC-AUC across six models and outperforming prior methods by 20.6%.
citing papers explorer
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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.
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Canonicalized Stable-List Replay for Private Federated Continual Learning over Language-Model Embeddings
CSLR aligns unordered private replay lists from clients using public anchor sentence signatures, yielding 3.9-5.6 point gains on continual NLP tasks at ε=4 over non-CSLR DP baselines.
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Pop Quiz Attack: Black-box Membership Inference Attacks Against Large Language Models
PopQuiz Attack infers LLM training data membership by turning examples into quiz questions and measuring answer accuracy, reaching 0.873 average ROC-AUC across six models and outperforming prior methods by 20.6%.