membership inference

On the Privacy Risks of Algorithmic Recourse AISTATS 2023 Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learning NeurIPS 2023 Privacy-Preserving Natural Language Processing EACL 2023 ProPILE: Probing Privacy Leakage in Large Language Models NeurIPS 2023 Reconstructing Training Data from Model Gradient, Provably AISTATS 2023 Scalable Membership Inference Attacks via Quantile Regression NeurIPS 2023 Similarity Distribution Based Membership Inference Attack on Person Re-identification AAAI 2023 Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4 EMNLP 2023 Students Parrot Their Teachers: Membership Inference on Model Distillation NeurIPS 2023 A General Framework for Auditing Differentially Private Machine Learning NeurIPS 2022 Amplifying Membership Exposure via Data Poisoning NeurIPS 2022 An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models EMNLP 2022 Bounding Training Data Reconstruction in Private (Deep) Learning ICML 2022 Dataset Distillation using Neural Feature Regression NeurIPS 2022 Deduplicating Training Data Mitigates Privacy Risks in Language Models ICML 2022 Leveraging Adversarial Examples To Quantify Membership Information Leakage CVPR 2022 Membership Inference Attacks Against Self-supervised Speech Models Interspeech 2022 Membership Inference via Backdooring IJCAI 2022 MExMI: Pool-based Active Model Extraction Crossover Membership Inference NeurIPS 2022 Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference NeurIPS 2022 Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks EMNLP 2022 RelaxLoss: Defending Membership Inference Attacks without Losing Utility ICLR 2022 The Privacy Onion Effect: Memorization is Relative NeurIPS 2022 Amnesiac Machine Learning AAAI 2021 How Does Data Augmentation Affect Privacy in Machine Learning? AAAI 2021