{"total":42,"rows":[{"id":"2402.07841","title":"Do Membership Inference Attacks Work on Large Language Models?","created":"2024-02-12","cited_by_count":195,"area":"safety"},{"id":"2312.03262","title":"Low-Cost High-Power Membership Inference Attacks","created":"2023-12-06","cited_by_count":107,"area":"safety"},{"id":"2405.20272","title":"Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable","created":"2024-05-30","cited_by_count":25,"area":"safety"},{"id":"2407.15098","title":"SeqMIA: Sequential-Metric Based Membership Inference Attack","created":"2024-07-21","cited_by_count":23,"area":"safety"},{"id":"2406.07687","title":"Adversarial Machine Unlearning","created":"2024-06-11","cited_by_count":16,"area":"safety"},{"id":"2406.11544","title":"Do Parameters Reveal More than Loss for Membership Inference?","created":"2024-06-17","cited_by_count":10,"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":"2402.05453","title":"Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss","created":"2024-02-08","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":"2310.03838","title":"Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning","created":"2023-10-05","cited_by_count":5,"area":"safety"},{"id":"2404.11577","title":"A Reliable Cryptographic Framework for Empirical Machine Unlearning Evaluation","created":"2024-04-17","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":"2505.24089","title":"Practical Bayes-Optimal Membership Inference Attacks","created":"2025-05-30","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":"2506.15349","title":"Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference","created":"2025-06-18","cited_by_count":4,"area":"safety"},{"id":"2510.13451","title":"Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts","created":"2025-10-15","cited_by_count":4,"area":"safety"},{"id":"2502.09396","title":"A hierarchical approach for assessing the vulnerability of tree-based classification models to membership inference attack","created":"2025-02-13","cited_by_count":3,"area":"safety"},{"id":"2502.09974","title":"Has My System Prompt Been Used? Large Language Model Prompt Membership Inference","created":"2025-02-14","cited_by_count":3,"area":"safety"},{"id":"2509.05449","title":"Neural Breadcrumbs: Membership Inference Attacks on LLMs Through Hidden State and Attention Pattern Analysis","created":"2025-09-05","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":"2603.07567","title":"Revisiting the LiRA Membership Inference Attack Under Realistic Assumptions","created":"2026-03-08","cited_by_count":3,"area":"safety"},{"id":"2502.06374","title":"Hyperparameters in Score-Based Membership Inference Attacks","created":"2025-02-10","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":"2506.02711","title":"Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack","created":"2025-06-03","cited_by_count":2,"area":"safety"},{"id":"2508.07066","title":"Membership Inference Attacks with False Discovery Rate Control","created":"2025-08-09","cited_by_count":2,"area":"safety"},{"id":"2512.09654","title":"Membership and Dataset Inference Attacks on Large Audio Generative Models","created":"2025-12-10","cited_by_count":2,"area":"safety"},{"id":"2602.02819","title":"Causal Evaluation of Membership Inference Attacks","created":"2026-02-02","cited_by_count":2,"area":"safety"},{"id":"2506.06488","title":"Membership Inference Attacks for Unseen Classes","created":"2025-06-06","cited_by_count":1,"area":"safety"},{"id":"2510.19773","title":"Estimating Model-Level Membership Inference Vulnerability Without Reference Models","created":"2025-10-22","cited_by_count":1,"area":"safety"},{"id":"2511.02435","title":"Improving Unlearning with Model Updates Probably Aligned with Gradients","created":"2025-11-04","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":"2411.03363","title":"TDDBench: A Benchmark for Training data detection","created":"2024-11-05","cited_by_count":0,"area":"safety"},{"id":"2503.09365","title":"Membership Inference Attacks fueled by Few-Short Learning to detect privacy leakage tackling data integrity","created":"2025-03-12","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":"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":"2605.29454","title":"A Full-Pipeline Framework for Evaluating Membership Inference Attacks in Machine Learning","created":"2026-05-28","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":"2609.11780","title":"Predicting Privacy Leakage from Weight Spectral Density","created":"2026-09-10","cited_by_count":0,"area":"safety"},{"id":"2609.12367","title":"Membership Inference via Pairwise Likelihood Ratios","created":"2026-09-11","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}