membership inference

Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data? AAAI 2025 CDI: Copyrighted Data Identification in Diffusion Models CVPR 2025 Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding COLING 2025 Context-Aware Membership Inference Attacks against Pre-trained Large Language Models EMNLP 2025 CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion ICLR 2025 DF-MIA: A Distribution-Free Membership Inference Attack on Fine-Tuned Large Language Models AAAI 2025 Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-Based Human Activity Recognition WACV 2025 Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions NAACL 2025 EverTracer: Hunting Stolen Large Language Models via Stealthy and Robust Probabilistic Fingerprint EMNLP 2025 Find a Scapegoat: Poisoning Membership Inference Attack and Defense to Federated Learning ICCV 2025 Fine-tuning can Help Detect Pretraining Data from Large Language Models ICLR 2025 Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage AAAI 2025 Fragments to Facts: Partial-Information Fragment Inference from LLMs ICML 2025 Gibberish is All You Need for Membership Inference Detection in Contrastive Language-Audio Pretraining NAACL 2025 How much of my dataset did you use? Quantitative Data Usage Inference in Machine Learning ICLR 2025 Identifying Unlearned Data in LLMs via Membership Inference Attacks EMNLP 2025 Membership and Memorization in LLM Knowledge Distillation EMNLP 2025 Membership Inference Attacks with False Discovery Rate Control ICCV 2025 Not All Wrong is Bad: Using Adversarial Examples for Unlearning ICML 2025 OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models EMNLP 2025 Personalized Language Models via Privacy-Preserving Evolutionary Model Merging EMNLP 2025 Privacy Auditing of Large Language Models ICLR 2025 Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models AAAI 2025 Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy IJCAI 2025 Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy ICCV 2025