privacy risk

How Robust Are Router-LLMs? Analysis of the Fragility of LLM Routing Capabilities EACL 2026 Personal Information Parroting in Language Models EACL 2026 Your Prompts Are Not Safe: Output-Free Membership Inference via Prompt Vectors in Vision-Language Tuning AAAI 2026 AI Knows Where You Are: Exposure, Bias, and Inference in Multimodal Geolocation with KoreaGEO EMNLP 2025 FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning CVPR 2025 Gradient Inversion Attack in Federated Learning: Exposing Text Data through Discrete Optimization COLING 2025 How Private are Language Models in Abstractive Summarization? EMNLP 2025 Identifying Unlearned Data in LLMs via Membership Inference Attacks EMNLP 2025 Learning to Refuse: Towards Mitigating Privacy Risks in LLMs COLING 2025 Membership and Memorization in LLM Knowledge Distillation EMNLP 2025 Memorization is Language-Sensitive: Analyzing Memorization and Inference Risks of LLMs in a Multilingual Setting ACL 2025 MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector AAAI 2025 Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data EMNLP 2025 On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis UAI 2025 Rethinking Federated Graph Learning: A Data Condensation Perspective IJCAI 2025 SUA: Stealthy Multimodal Large Language Model Unlearning Attack EMNLP 2025 Textual Unlearning Gives a False Sense of Unlearning ICML 2025 The Canary’s Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text ICML 2025 Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges ACL 2025 Variance-Based Membership Inference Attacks Against Large-Scale Image Captioning Models CVPR 2025 Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs NeurIPS 2024 Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference AAAI 2024 Detecting, Explaining, and Mitigating Memorization in Diffusion Models ICLR 2024 Extracting Training Data From Document-Based VQA Models ICML 2024 Extracting Training Data from Molecular Pre-trained Models NeurIPS 2024