membership inference attack

TDDBench: A Benchmark for Training data detection ICLR 2025 The Canary’s Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text ICML 2025 Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models ICML 2025 Tokens for Learning, Tokens for Unlearning: Mitigating Membership Inference Attacks in Large Language Models via Dual-Purpose Training ACL 2025 Tool Unlearning for Tool-Augmented LLMs ICML 2025 Towards Black-Box Membership Inference Attack for Diffusion Models ICML 2025 Tracing Training Footprints: A Calibration Approach for Membership Inference Attacks Against Multimodal Large Language Models EMNLP 2025 TUNI: A Textual Unimodal Detector for Identity Inference in CLIP Models NAACL 2025 TVineSynth: A Truncated C-Vine Copula Generator of Synthetic Tabular Data to Balance Privacy and Utility AISTATS 2025 Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning ICML 2025 Variance-Based Membership Inference Attacks Against Large-Scale Image Captioning Models CVPR 2025 Analysis of Privacy Leakage in Federated Large Language Models AISTATS 2024 An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization ICLR 2024 Center-Based Relaxed Learning Against Membership Inference Attacks UAI 2024 Data Contamination Calibration for Black-box LLMs ACL 2024 Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions NeurIPS 2024 Generate Synthetic Text Approximating the Private Distribution with Differential Privacy IJCAI 2024 Locally Differentially Private In-Context Learning COLING 2024 Low-Cost High-Power Membership Inference Attacks ICML 2024 Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration NeurIPS 2024 Membership Inference Attacks against Large Vision-Language Models NeurIPS 2024 Membership Inference Attacks Against Time-Series Models ACML 2024 Membership Inference Attacks on Diffusion Models via Quantile Regression ICML 2024 Membership Inference Attack Using Self Influence Functions WACV 2024 Noisy Neighbors: Efficient membership inference attacks against LLMs ACL 2024