| Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability | Nov 21, 2019 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Efficient Membership Inference Attacks by Bayesian Neural Network | Mar 10, 2025 | Bayesian InferenceInference Attack | —Unverified | 0 |
| Epsilon*: Privacy Metric for Machine Learning Models | Jul 21, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| τ: Gradient-based and Task-Agnostic machine Unlearning | Mar 21, 2024 | Inference AttackMachine Unlearning | —Unverified | 0 |
| On the Effectiveness of Regularization Against Membership Inference Attacks | Jun 9, 2020 | image-classificationImage Classification | —Unverified | 0 |
| On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel | Aug 1, 2022 | Benchmarkingimage-classification | —Unverified | 0 |
| On the Privacy Risk of In-context Learning | Nov 15, 2024 | In-Context LearningInference Attack | —Unverified | 0 |
| Orthogonal Soft Pruning for Efficient Class Unlearning | Jun 24, 2025 | Inference AttackMachine Unlearning | —Unverified | 0 |
| Over-the-Air Membership Inference Attacks as Privacy Threats for Deep Learning-based Wireless Signal Classifiers | Jun 25, 2020 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Preserving Privacy in GANs Against Membership Inference Attack | Nov 6, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
