privacy attack

CIA: Inferring the Communication Topology from LLM-based Multi-Agent Systems ACL 2026 CLIP-FTI: Fine-Grained Face Template Inversion via CLIP-Driven Attribute Conditioning AAAI 2026 Conceptualisation and Implementation of Human-centric Privacy Preserving Framework for Explainable AI AAAI 2026 Do Vision-Language Models Leak What They Learn? Adaptive Token-Weighted Model Inversion Attacks CVPR 2026 Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure AAAI 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 Membership Inference Attack Against Large Language Model-Based Recommendation Systems: A New Distillation-Based Paradigm AAAI 2026 MrM: Black-Box Membership Inference Attacks Against Multimodal RAG Systems AAAI 2026 OpenLVLM-MIA: A Controlled Benchmark Revealing the Limits of Membership Inference Attacks on Large Vision-Language Models WACV 2026 Reference Recommendation Based Membership Inference Attack Against Hybrid-Based Recommender Systems AAAI 2026 A Privacy-Preserving Framework for Generative Model-driven Synthetic Datasets AAAI 2025 A Statistical and Multi-Perspective Revisiting of the Membership Inference Attack in Large Language Models ACL 2025 Be Cautious When Merging Unfamiliar LLMs: A Phishing Model Capable of Stealing Privacy ACL 2025 Context-Aware Membership Inference Attacks against Pre-trained Large Language Models EMNLP 2025 Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated Learning UAI 2025 Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-Based Human Activity Recognition WACV 2025 FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning CVPR 2025 Find a Scapegoat: Poisoning Membership Inference Attack and Defense to Federated Learning ICCV 2025 Fundamental Limits of Membership Inference Attacks on Machine Learning Models JMLR 2025 Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning ICCV 2025 MEDUSA: Medical Data Under Shadow Attacks via Hybrid Model Inversion AISTATS 2025 Membership Inference Attacks with False Discovery Rate Control ICCV 2025 Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta Learning AAAI 2025 Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models ACL 2025