{"total":97,"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":"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":"2312.03262","title":"Low-Cost High-Power Membership Inference Attacks","created":"2023-12-06","cited_by_count":107,"area":"safety"},{"id":"2208.14933","title":"Membership Inference Attacks by Exploiting Loss Trajectory","created":"2022-08-31","cited_by_count":101,"area":"safety"},{"id":"2102.02551","title":"ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models","created":"2021-02-04","cited_by_count":85,"area":"safety"},{"id":"2108.11023","title":"EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning","created":"2021-08-25","cited_by_count":73,"area":"safety"},{"id":"2210.00968","title":"Membership Inference Attacks Against Text-to-image Generation Models","created":"2022-10-03","cited_by_count":69,"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":"2301.11578","title":"Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers","created":"2023-01-27","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":"2109.08045","title":"Membership Inference Attacks Against Recommender Systems","created":"2021-09-16","cited_by_count":57,"area":"safety"},{"id":"2404.03233","title":"Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning","created":"2024-04-04","cited_by_count":48,"area":"safety"},{"id":"2202.03335","title":"Membership Inference Attacks and Defenses in Neural Network Pruning","created":"2022-02-07","cited_by_count":45,"area":"safety"},{"id":"2409.19732","title":"Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement","created":"2024-09-29","cited_by_count":45,"area":"safety"},{"id":"2409.01380","title":"Membership Inference Attacks Against In-Context Learning","created":"2024-09-02","cited_by_count":43,"area":"safety"},{"id":"2209.15266","title":"Data Poisoning Attacks Against Multimodal Encoders","created":"2022-09-30","cited_by_count":41,"area":"safety"},{"id":"2502.18943","title":"Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models","created":"2025-02-26","cited_by_count":37,"area":"safety"},{"id":"2102.04140","title":"Quantifying and Mitigating Privacy Risks of Contrastive Learning","created":"2021-02-08","cited_by_count":36,"area":"safety"},{"id":"2106.11384","title":"Membership Inference on Word Embedding and Beyond","created":"2021-06-21","cited_by_count":35,"area":"safety"},{"id":"2209.06997","title":"M^4I: Multi-modal Models Membership Inference","created":"2022-09-15","cited_by_count":34,"area":"safety"},{"id":"2211.00463","title":"Amplifying Membership Exposure via Data Poisoning","created":"2022-11-01","cited_by_count":34,"area":"safety"},{"id":"2111.07608","title":"Property Inference Attacks Against GANs","created":"2021-11-15","cited_by_count":33,"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":"2307.01610","title":"Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction","created":"2023-07-04","cited_by_count":29,"area":"safety"},{"id":"2203.06580","title":"One Parameter Defense -- Defending against Data Inference Attacks via Differential Privacy","created":"2022-03-13","cited_by_count":27,"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":"2407.15098","title":"SeqMIA: Sequential-Metric Based Membership Inference Attack","created":"2024-07-21","cited_by_count":23,"area":"safety"},{"id":"2409.00426","title":"Is Difficulty Calibration All We Need? Towards More Practical Membership Inference Attacks","created":"2024-08-31","cited_by_count":21,"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":"2208.10445","title":"Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models","created":"2022-08-22","cited_by_count":16,"area":"safety"},{"id":"2210.11334","title":"Proof of Unlearning: Definitions and Instantiation","created":"2022-10-20","cited_by_count":15,"area":"safety"},{"id":"2212.00612","title":"Purifier: Defending Data Inference Attacks via Transforming Confidence Scores","created":"2022-12-01","cited_by_count":15,"area":"safety"},{"id":"2311.16136","title":"ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach","created":"2023-11-03","cited_by_count":15,"area":"safety"},{"id":"2309.07983","title":"SLMIA-SR: Speaker-Level Membership Inference Attacks against Speaker Recognition Systems","created":"2023-09-14","cited_by_count":14,"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":"2402.15109","title":"Remaining-data-free Machine Unlearning by Suppressing Sample Contribution","created":"2024-02-23","cited_by_count":13,"area":"safety"},{"id":"2405.16978","title":"OSLO: One-Shot Label-Only Membership Inference Attacks","created":"2024-05-27","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":"2111.09076","title":"To Trust or Not To Trust Prediction Scores for Membership Inference Attacks","created":"2021-11-17","cited_by_count":10,"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":"2406.07698","title":"Label Smoothing Improves Machine Unlearning","created":"2024-06-11","cited_by_count":9,"area":"safety"},{"id":"2507.18302","title":"LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models","created":"2025-07-24","cited_by_count":9,"area":"safety"},{"id":"2205.06369","title":"How to Combine Membership-Inference Attacks on Multiple Updated Models","created":"2022-05-12","cited_by_count":8,"area":"safety"},{"id":"2205.06986","title":"Evaluating Membership Inference Through Adversarial Robustness","created":"2022-05-14","cited_by_count":8,"area":"safety"},{"id":"2310.11970","title":"Quantifying Privacy Risks of Prompts in Visual Prompt Learning","created":"2023-10-18","cited_by_count":8,"area":"safety"},{"id":"2312.07200","title":"Code Membership Inference for Detecting Unauthorized Data Use in Code Pre-trained Language Models","created":"2023-12-12","cited_by_count":8,"area":"safety"},{"id":"2405.07562","title":"GLiRA: Black-Box Membership Inference Attack via Knowledge Distillation","created":"2024-05-13","cited_by_count":7,"area":"safety"},{"id":"2407.01919","title":"A Method to Facilitate Membership Inference Attacks in Deep Learning Models","created":"2024-07-02","cited_by_count":7,"area":"safety"},{"id":"2203.00915","title":"MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of Members","created":"2022-03-02","cited_by_count":6,"area":"safety"},{"id":"2402.05453","title":"Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss","created":"2024-02-08","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":"2310.03838","title":"Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning","created":"2023-10-05","cited_by_count":5,"area":"safety"},{"id":"2409.03741","title":"Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm?","created":"2024-09-05","cited_by_count":5,"area":"safety"},{"id":"2601.11210","title":"VidLeaks: Membership Inference Attacks Against Text-to-Video Models","created":"2026-01-16","cited_by_count":5,"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":"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":"2405.15316","title":"Decaf: Data Distribution Decompose Attack against Federated Learning","created":"2024-05-24","cited_by_count":4,"area":"safety"},{"id":"2206.05565","title":"NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks","created":"2022-06-11","cited_by_count":3,"area":"safety"},{"id":"2307.06123","title":"SoK: Comparing Different Membership Inference Attacks with a Comprehensive Benchmark","created":"2023-07-12","cited_by_count":3,"area":"safety"},{"id":"2506.05743","title":"When Better Features Mean Greater Risks: The Performance-Privacy Trade-Off in Contrastive Learning","created":"2025-06-06","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":"2510.05699","title":"Membership Inference Attacks on Tokenizers of Large Language Models","created":"2025-10-07","cited_by_count":3,"area":"safety"},{"id":"2601.18650","title":"FaLW: A Forgetting-aware Loss Reweighting for Long-tailed Unlearning","created":"2026-01-26","cited_by_count":3,"area":"safety"},{"id":"2207.13572","title":"Membership Inference Attacks via Adversarial Examples","created":"2022-07-27","cited_by_count":2,"area":"safety"},{"id":"2210.16258","title":"On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models","created":"2022-10-28","cited_by_count":2,"area":"safety"},{"id":"2408.06825","title":"Membership Inference Attack Against Masked Image Modeling","created":"2024-08-13","cited_by_count":2,"area":"safety"},{"id":"2503.07482","title":"How does Bayesian Sampling help Membership Inference Attacks?","created":"2025-03-10","cited_by_count":2,"area":"safety"},{"id":"2510.10625","title":"ImpMIA: Leveraging Implicit Bias for Membership Inference Attack","created":"2025-10-12","cited_by_count":2,"area":"safety"},{"id":"2212.01688","title":"LDL: A Defense for Label-Based Membership Inference Attacks","created":"2022-12-03","cited_by_count":1,"area":"safety"},{"id":"2302.14769","title":"Membership Inference Attack for Beluga Whales Discrimination","created":"2023-02-28","cited_by_count":1,"area":"safety"},{"id":"2306.04109","title":"Membership inference attack with relative decision boundary distance","created":"2023-06-07","cited_by_count":1,"area":"safety"},{"id":"2401.13719","title":"Inference Attacks Against Face Recognition Model without Classification Layers","created":"2024-01-24","cited_by_count":1,"area":"safety"},{"id":"2402.01114","title":"Double-Dip: Thwarting Label-Only Membership Inference Attacks with Transfer Learning and Randomization","created":"2024-02-02","cited_by_count":1,"area":"safety"},{"id":"2506.06488","title":"Membership Inference Attacks for Unseen Classes","created":"2025-06-06","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":"2508.06244","title":"Membership Inference Attack with Partial Features","created":"2025-08-08","cited_by_count":1,"area":"safety"},{"id":"2512.16126","title":"Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure","created":"2025-12-18","cited_by_count":1,"area":"safety"},{"id":"2601.06866","title":"United We Defend: Collaborative Membership Inference Defenses in Federated Learning","created":"2026-01-11","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":"2210.08956","title":"A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information","created":"2022-10-17","cited_by_count":0,"area":"safety"},{"id":"2406.07917","title":"Graph Transductive Defense: a Two-Stage Defense for Graph Membership Inference Attacks","created":"2024-06-12","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":"2504.21042","title":"What's Pulling the Strings? Evaluating Integrity and Attribution in AI Training and Inference through Concept Shift","created":"2025-04-28","cited_by_count":0,"area":"safety"},{"id":"2508.18665","title":"Membership Inference Attacks on In-Context Examples in LLM-based Recommender Systems","created":"2025-08-26","cited_by_count":0,"area":"safety"},{"id":"2510.05753","title":"Empirical Comparison of Membership Inference Attacks in Deep Transfer Learning","created":"2025-10-07","cited_by_count":0,"area":"safety"},{"id":"2512.08291","title":"Exposing and Defending Membership Leakage in Vulnerability Prediction Models","created":"2025-12-09","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":"2605.30462","title":"idSCD: Identifying Training Datasets through Semantic Correlation Descriptors","created":"2026-05-28","cited_by_count":0,"area":"safety"},{"id":"2606.30081","title":"Discard the Dross and Select the Essential: Pre-query Sample Selection for Black-box Membership Inference Attacks","created":"2026-06-29","cited_by_count":0,"area":"safety"},{"id":"2607.04339","title":"One Framework for All: Cross-Modal Membership Inference for Generative Models","created":"2026-07-05","cited_by_count":0,"area":"safety"},{"id":"2610.17332","title":"COMPASS: Membership Inference Attack Against Vision Large Language Models via Adaptive Noise Calibration","created":"2026-10-12","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}