| A Blessing of Dimensionality in Membership Inference through Regularization | May 27, 2022 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Epsilon*: Privacy Metric for Machine Learning Models | Jul 21, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Efficient Membership Inference Attacks by Bayesian Neural Network | Mar 10, 2025 | Bayesian InferenceInference Attack | —Unverified | 0 | 0 |
| Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability | Nov 21, 2019 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| A Zero Auxiliary Knowledge Membership Inference Attack on Aggregate Location Data | Jun 26, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| An Efficient Subpopulation-based Membership Inference Attack | Mar 4, 2022 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Effectiveness of L2 Regularization in Privacy-Preserving Machine Learning | Dec 2, 2024 | Inference AttackL2 Regularization | —Unverified | 0 | 0 |
| AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models | Feb 4, 2023 | Decision MakingExplainable artificial intelligence | —Unverified | 0 | 0 |
| DP-GPL: Differentially Private Graph Prompt Learning | Mar 13, 2025 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| AugMixCloak: A Defense against Membership Inference Attacks via Image Transformation | May 11, 2025 | Data AugmentationFederated Learning | —Unverified | 0 | 0 |
