{"total":50,"rows":[{"id":"2101.01341","title":"Practical Blind Membership Inference Attack via Differential Comparisons","created":"2021-01-05","cited_by_count":78,"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":"2206.03693","title":"Autoregressive Perturbations for Data Poisoning","created":"2022-06-08","cited_by_count":46,"area":"safety"},{"id":"2106.14851","title":"Data Poisoning Won't Save You From Facial Recognition","created":"2021-06-28","cited_by_count":45,"area":"safety"},{"id":"2202.11202","title":"Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning","created":"2022-02-22","cited_by_count":34,"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":"2303.15127","title":"Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks","created":"2023-03-27","cited_by_count":30,"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":"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":"2205.13680","title":"Membership Inference Attack Using Self Influence Functions","created":"2022-05-26","cited_by_count":20,"area":"safety"},{"id":"2105.13697","title":"AdvParams: An Active DNN Intellectual Property Protection Technique via Adversarial Perturbation Based Parameter Encryption","created":"2021-05-28","cited_by_count":13,"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":"2405.16978","title":"OSLO: One-Shot Label-Only Membership Inference Attacks","created":"2024-05-27","cited_by_count":13,"area":"safety"},{"id":"2210.10886","title":"Backdoor Attack and Defense in Federated Generative Adversarial Network-based Medical Image Synthesis","created":"2022-10-19","cited_by_count":12,"area":"safety"},{"id":"2103.03078","title":"Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods","created":"2021-03-04","cited_by_count":9,"area":"safety"},{"id":"2407.02356","title":"Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging","created":"2024-07-02","cited_by_count":9,"area":"safety"},{"id":"2310.05331","title":"Unlearning with Fisher Masking","created":"2023-10-09","cited_by_count":8,"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":"2409.14747","title":"Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting","created":"2024-09-23","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":"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":"2404.17674","title":"Center-Based Relaxed Learning Against Membership Inference Attacks","created":"2024-04-26","cited_by_count":4,"area":"safety"},{"id":"2410.06814","title":"Defending Membership Inference Attacks via Privacy-aware Sparsity Tuning","created":"2024-10-09","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":"2509.06796","title":"Imitative Membership Inference Attack","created":"2025-09-08","cited_by_count":3,"area":"safety"},{"id":"2509.07879","title":"Active Membership Inference Test (aMINT): Enhancing Model Auditability with Multi-Task Learning","created":"2025-09-09","cited_by_count":3,"area":"safety"},{"id":"2211.13535","title":"DeepTaster: Adversarial Perturbation-Based Fingerprinting to Identify Proprietary Dataset Use in Deep Neural Networks","created":"2022-11-24","cited_by_count":2,"area":"safety"},{"id":"2303.09314","title":"TOT: Topology-Aware Optimal Transport For Multimodal Hate Detection","created":"2023-02-27","cited_by_count":2,"area":"safety"},{"id":"2401.04385","title":"Machine unlearning through fine-grained model parameters perturbation","created":"2024-01-09","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":"2409.01185","title":"Backdoor Defense through Self-Supervised and Generative Learning","created":"2024-09-02","cited_by_count":2,"area":"safety"},{"id":"2505.08255","title":"Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted","created":"2025-05-13","cited_by_count":2,"area":"safety"},{"id":"2511.16792","title":"Membership Inference Attacks Beyond Overfitting","created":"2025-11-20","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":"2303.09858","title":"Preventing Unauthorized AI Over-Analysis by Medical Image Adversarial Watermarking","created":"2023-03-17","cited_by_count":1,"area":"safety"},{"id":"2306.16415","title":"On Practical Aspects of Aggregation Defenses against Data Poisoning Attacks","created":"2023-06-28","cited_by_count":1,"area":"safety"},{"id":"2507.04771","title":"Efficient Unlearning with Privacy Guarantees","created":"2025-07-07","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":"2512.23171","title":"Certifying the Right to Be Forgotten: Primal-Dual Optimization for Sample and Label Unlearning in Vertical Federated Learning","created":"2025-12-29","cited_by_count":1,"area":"safety"},{"id":"2209.11020","title":"Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models","created":"2022-09-22","cited_by_count":0,"area":"safety"},{"id":"2211.01808","title":"Dormant Neural Trojans","created":"2022-11-02","cited_by_count":0,"area":"safety"},{"id":"2211.13644","title":"Seeds Don't Lie: An Adaptive Watermarking Framework for Computer Vision Models","created":"2022-11-24","cited_by_count":0,"area":"safety"},{"id":"2508.00892","title":"HoneyImage: Verifiable, Harmless, and Stealthy Dataset Ownership Verification for Image Models","created":"2025-07-27","cited_by_count":0,"area":"safety"},{"id":"2511.22936","title":"Robust Image Self-Recovery against Tampering using Watermark Generation with Pixel Shuffling","created":"2025-11-28","cited_by_count":0,"area":"safety"},{"id":"2602.05748","title":"LeakBoost: Perceptual-Loss-Based Membership Inference Attack","created":"2026-02-05","cited_by_count":0,"area":"safety"},{"id":"2605.11592","title":"SoK: Unlearnability and Unlearning for Model Dememorization","created":"2026-05-12","cited_by_count":0,"area":"safety"},{"id":"2607.07527","title":"A Unified Detection Framework for AI-Related Content and Artifacts","created":"2026-07-08","cited_by_count":0,"area":"safety"},{"id":"2608.06211","title":"Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era","created":"2026-08-06","cited_by_count":0,"area":"safety"}],"next_cursor":null}