{"total":32,"rows":[{"id":"2112.03570","title":"Membership Inference Attacks From First Principles","created":"2021-12-07","cited_by_count":878,"area":"safety"},{"id":"2103.07853","title":"Membership Inference Attacks on Machine Learning: A Survey","created":"2021-03-14","cited_by_count":321,"area":"safety"},{"id":"2111.09679","title":"Enhanced Membership Inference Attacks against Machine Learning Models","created":"2021-11-18","cited_by_count":248,"area":"safety"},{"id":"2310.15007","title":"Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models","created":"2023-10-23","cited_by_count":56,"area":"safety"},{"id":"2111.07608","title":"Property Inference Attacks Against GANs","created":"2021-11-15","cited_by_count":33,"area":"safety"},{"id":"2412.06157","title":"Membership Inference Attacks and Defenses in Federated Learning: A Survey","created":"2024-12-09","cited_by_count":31,"area":"safety"},{"id":"2105.02866","title":"Membership Inference Attacks on Deep Regression Models for Neuroimaging","created":"2021-05-06","cited_by_count":22,"area":"safety"},{"id":"2307.01701","title":"Synthetic is all you need: removing the auxiliary data assumption for membership inference attacks against synthetic data","created":"2023-07-04","cited_by_count":18,"area":"safety"},{"id":"2302.12685","title":"Active Membership Inference Attack under Local Differential Privacy in Federated Learning","created":"2023-02-24","cited_by_count":17,"area":"safety"},{"id":"2402.09225","title":"Is My Data in Your AI? Membership Inference Test (MINT) applied to Face Biometrics","created":"2024-02-14","cited_by_count":13,"area":"safety"},{"id":"2206.12401","title":"Debiasing Learning for Membership Inference Attacks Against Recommender Systems","created":"2022-06-24","cited_by_count":12,"area":"safety"},{"id":"2505.01524","title":"The DCR Delusion: Measuring the Privacy Risk of Synthetic Data","created":"2025-05-02","cited_by_count":11,"area":"safety"},{"id":"2207.12535","title":"Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning","created":"2022-07-25","cited_by_count":10,"area":"safety"},{"id":"2111.01363","title":"Knowledge Cross-Distillation for Membership Privacy","created":"2021-11-02","cited_by_count":6,"area":"safety"},{"id":"2310.12665","title":"SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models","created":"2023-10-19","cited_by_count":4,"area":"safety"},{"id":"2406.18671","title":"A Zero Auxiliary Knowledge Membership Inference Attack on Aggregate Location Data","created":"2024-06-26","cited_by_count":4,"area":"safety"},{"id":"2109.03975","title":"Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning","created":"2021-09-08","cited_by_count":3,"area":"safety"},{"id":"2306.03600","title":"Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations","created":"2023-06-06","cited_by_count":1,"area":"safety"},{"id":"2403.06595","title":"Towards more accurate and useful data anonymity vulnerability measures","created":"2024-03-11","cited_by_count":1,"area":"safety"},{"id":"2404.16851","title":"EdgeLeakage: Membership Information Leakage in Distributed Edge Intelligence Systems","created":"2024-03-08","cited_by_count":1,"area":"safety"},{"id":"2407.02870","title":"Membership Inference Attacks Against Time-Series Models","created":"2024-07-03","cited_by_count":1,"area":"safety"},{"id":"2411.11144","title":"CLMIA: Membership Inference Attacks via Unsupervised Contrastive Learning","created":"2024-11-17","cited_by_count":1,"area":"safety"},{"id":"2601.15874","title":"SoK: Challenges in Tabular Membership Inference Attacks","created":"2026-01-22","cited_by_count":1,"area":"safety"},{"id":"2203.05212","title":"Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation","created":"2022-03-10","cited_by_count":0,"area":"safety"},{"id":"2301.03596","title":"Membership Inference Attacks Against Latent Factor Model","created":"2022-12-15","cited_by_count":0,"area":"safety"},{"id":"2405.15423","title":"Lost in the Averages: A New Specific Setup to Evaluate Membership Inference Attacks Against Machine Learning Models","created":"2024-05-24","cited_by_count":0,"area":"safety"},{"id":"2412.20456","title":"Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates","created":"2024-12-29","cited_by_count":0,"area":"safety"},{"id":"2509.04169","title":"Privacy Risks in Time Series Forecasting: User- and Record-Level Membership Inference","created":"2025-09-04","cited_by_count":0,"area":"safety"},{"id":"2602.12943","title":"Neighborhood Blending: A Lightweight Inference-Time Defense Against Membership Inference Attacks","created":"2026-02-13","cited_by_count":0,"area":"safety"},{"id":"2602.18934","title":"LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings","created":"2026-02-21","cited_by_count":0,"area":"safety"},{"id":"2604.19891","title":"A Data-Free Membership Inference Attack on Federated Learning in Hardware Assurance","created":"2026-04-21","cited_by_count":0,"area":"safety"},{"id":"2610.18486","title":"SoK: Rethinking Membership Inference in Tabular Machine Learning","created":"2026-10-13","cited_by_count":0,"area":"safety"}],"next_cursor":null}