membership inference

On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint) IJCAI 2024 Order of Magnitude Speedups for LLM Membership Inference EMNLP 2024 OSLO: One-Shot Label-Only Membership Inference Attacks NeurIPS 2024 PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining NeurIPS 2024 Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method EMNLP 2024 Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models NeurIPS 2024 PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models ACL 2024 ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods EMNLP 2024 Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models NeurIPS 2024 Task Contamination: Language Models May Not Be Few-Shot Anymore AAAI 2024 Towards More Realistic Membership Inference Attacks on Large Diffusion Models WACV 2024 User Inference Attacks on Large Language Models EMNLP 2024 Watermarking Makes Language Models Radioactive NeurIPS 2024 You Only Query Once: An Efficient Label-Only Membership Inference Attack ICLR 2024 A Blessing of Dimensionality in Membership Inference through Regularization AISTATS 2023 Active Membership Inference Attack under Local Differential Privacy in Federated Learning AISTATS 2023 Are Diffusion Models Vulnerable to Membership Inference Attacks? ICML 2023 Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks EMNLP 2023 Bayesian Estimation of Differential Privacy ICML 2023 Bounding training data reconstruction in DP-SGD NeurIPS 2023 Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders NeurIPS 2023 Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries ICLR 2023 Gaussian Membership Inference Privacy NeurIPS 2023 Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack NeurIPS 2023 Membership Inference Attacks against Synthetic Data through Overfitting Detection AISTATS 2023