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privacy attack

118 papers

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Co-occurring keywords

membership inference (113) membership inference attack (87) federated learning (1320) large language model (12755) gradient inversion (21) adversarial attack (1599) language model (4573) gradient inversion attack (29) model inversion (31) data privacy (106)

Papers

Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure AAAI 2026
Membership Inference Attack Against Large Language Model-Based Recommendation Systems: A New Distillation-Based Paradigm AAAI 2026
Reference Recommendation Based Membership Inference Attack Against Hybrid-Based Recommender Systems AAAI 2026
Conceptualisation and Implementation of Human-centric Privacy Preserving Framework for Explainable AI AAAI 2026
OpenLVLM-MIA: A Controlled Benchmark Revealing the Limits of Membership Inference Attacks on Large Vision-Language Models WACV 2026
FiMMIA: scaling semantic perturbation-based membership inference across modalities EACL 2026
Imprint of the Forgotten: Stealthy Membership Inference in Unlearned Graph Neural Networks AAAI 2026
MrM: Black-Box Membership Inference Attacks Against Multimodal RAG Systems AAAI 2026
CLIP-FTI: Fine-Grained Face Template Inversion via CLIP-Driven Attribute Conditioning AAAI 2026
Unveiling Privacy Risks in LLM Agent Memory ACL 2025
Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models ACL 2025
SlerpFace: Face Template Protection via Spherical Linear Interpolation AAAI 2025
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning CVPR 2025
Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta Learning AAAI 2025
A Statistical and Multi-Perspective Revisiting of the Membership Inference Attack in Large Language Models ACL 2025
R.R.: Unveiling LLM Training Privacy through Recollection and Ranking ACL 2025
Fundamental Limits of Membership Inference Attacks on Machine Learning Models JMLR 2025
Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy ICCV 2025
Context-Aware Membership Inference Attacks against Pre-trained Large Language Models EMNLP 2025
Membership Inference Attacks with False Discovery Rate Control ICCV 2025
Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning ICCV 2025
Be Cautious When Merging Unfamiliar LLMs: A Phishing Model Capable of Stealing Privacy ACL 2025
TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent EMNLP 2025
Retracing the Past: LLMs Emit Training Data When They Get Lost EMNLP 2025
Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models NAACL 2025