{"total":45,"rows":[{"id":"2103.07853","title":"Membership Inference Attacks on Machine Learning: A Survey","created":"2021-03-14","cited_by_count":321,"area":"safety"},{"id":"2305.18462","title":"Membership Inference Attacks against Language Models via Neighbourhood Comparison","created":"2023-05-29","cited_by_count":258,"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":"2111.08440","title":"On the Importance of Difficulty Calibration in Membership Inference Attacks","created":"2021-11-15","cited_by_count":147,"area":"safety"},{"id":"2101.01341","title":"Practical Blind Membership Inference Attack via Differential Comparisons","created":"2021-01-05","cited_by_count":78,"area":"safety"},{"id":"2110.08324","title":"Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture","created":"2021-10-15","cited_by_count":67,"area":"safety"},{"id":"2307.03694","title":"Scalable Membership Inference Attacks via Quantile Regression","created":"2023-07-07","cited_by_count":65,"area":"safety"},{"id":"2406.17975","title":"SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It)","created":"2024-06-25","cited_by_count":59,"area":"safety"},{"id":"2106.11384","title":"Membership Inference on Word Embedding and Beyond","created":"2021-06-21","cited_by_count":35,"area":"safety"},{"id":"2303.03446","title":"Students Parrot Their Teachers: Membership Inference on Model Distillation","created":"2023-03-06","cited_by_count":33,"area":"safety"},{"id":"2202.03460","title":"Deletion Inference, Reconstruction, and Compliance in Machine (Un)Learning","created":"2022-02-07","cited_by_count":24,"area":"safety"},{"id":"2403.09562","title":"PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps","created":"2024-03-14","cited_by_count":23,"area":"safety"},{"id":"2306.07273","title":"Gaussian Membership Inference Privacy","created":"2023-06-12","cited_by_count":21,"area":"safety"},{"id":"2206.01349","title":"On the Privacy Properties of GAN-generated Samples","created":"2022-06-03","cited_by_count":17,"area":"safety"},{"id":"2209.08615","title":"Membership Inference Attacks and Generalization: A Causal Perspective","created":"2022-09-18","cited_by_count":17,"area":"safety"},{"id":"2202.10276","title":"Poisoning Attacks and Defenses on Artificial Intelligence: A Survey","created":"2022-02-21","cited_by_count":16,"area":"safety"},{"id":"2401.10458","title":"Contrastive Unlearning: A Contrastive Approach to Machine Unlearning","created":"2024-01-19","cited_by_count":15,"area":"safety"},{"id":"2105.05381","title":"Accuracy-Privacy Trade-off in Deep Ensemble: A Membership Inference Perspective","created":"2021-05-12","cited_by_count":10,"area":"safety"},{"id":"2211.15918","title":"Similarity Distribution based Membership Inference Attack on Person Re-identification","created":"2022-11-29","cited_by_count":8,"area":"safety"},{"id":"2212.01082","title":"Membership Inference Attacks Against Semantic Segmentation Models","created":"2022-12-02","cited_by_count":7,"area":"safety"},{"id":"2111.01363","title":"Knowledge Cross-Distillation for Membership Privacy","created":"2021-11-02","cited_by_count":6,"area":"safety"},{"id":"2407.01306","title":"Unveiling the Unseen: Exploring Whitebox Membership Inference through the Lens of Explainability","created":"2024-07-01","cited_by_count":6,"area":"safety"},{"id":"2501.11577","title":"Rethinking Membership Inference Attacks Against Transfer Learning","created":"2025-01-20","cited_by_count":6,"area":"safety"},{"id":"2507.21412","title":"Cascading and Proxy Membership Inference Attacks","created":"2025-07-29","cited_by_count":6,"area":"safety"},{"id":"2110.05524","title":"Generalization Techniques Empirically Outperform Differential Privacy against Membership Inference","created":"2021-10-11","cited_by_count":5,"area":"safety"},{"id":"2205.06469","title":"l-Leaks: Membership Inference Attacks with Logits","created":"2022-05-13","cited_by_count":5,"area":"safety"},{"id":"2409.14513","title":"Order of Magnitude Speedups for LLM Membership Inference","created":"2024-09-22","cited_by_count":5,"area":"safety"},{"id":"2402.10686","title":"On the Impact of Uncertainty and Calibration on Likelihood-Ratio Membership Inference Attacks","created":"2024-02-16","cited_by_count":4,"area":"safety"},{"id":"2212.02701","title":"On the Discredibility of Membership Inference Attacks","created":"2022-12-06","cited_by_count":3,"area":"safety"},{"id":"2509.06796","title":"Imitative Membership Inference Attack","created":"2025-09-08","cited_by_count":3,"area":"safety"},{"id":"2210.11592","title":"New data poison attacks on machine learning classifiers for mobile exfiltration","created":"2022-10-20","cited_by_count":2,"area":"safety"},{"id":"2401.04929","title":"Learning-Based Difficulty Calibration for Enhanced Membership Inference Attacks","created":"2024-01-10","cited_by_count":2,"area":"safety"},{"id":"2407.00866","title":"Silver Linings in the Shadows: Harnessing Membership Inference for Machine Unlearning","created":"2024-07-01","cited_by_count":2,"area":"safety"},{"id":"2605.01129","title":"Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set","created":"2026-05-01","cited_by_count":2,"area":"safety"},{"id":"2302.14769","title":"Membership Inference Attack for Beluga Whales Discrimination","created":"2023-02-28","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":"2507.23291","title":"Evaluating the Dynamics of Membership Privacy in Deep Learning","created":"2025-07-31","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":"2301.03596","title":"Membership Inference Attacks Against Latent Factor Model","created":"2022-12-15","cited_by_count":0,"area":"safety"},{"id":"2411.03363","title":"TDDBench: A Benchmark for Training data detection","created":"2024-11-05","cited_by_count":0,"area":"safety"},{"id":"2512.02786","title":"FiMMIA: scaling semantic perturbation-based membership inference across modalities","created":"2025-12-02","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":"2603.22987","title":"A Critical Review on the Effectiveness and Privacy Threats of Membership Inference Attacks","created":"2026-03-24","cited_by_count":0,"area":"safety"},{"id":"2609.09848","title":"Subgroup Membership Inference Audits of Differentially Private Synthetic Text","created":"2026-09-09","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}