| Metric Privacy in Federated Learning for Medical Imaging: Improving Convergence and Preventing Client Inference Attacks | Feb 3, 2025 | Federated LearningInference Attack | —Unverified | 0 | 0 |
| MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers | Sep 26, 2021 | AttributeFederated Learning | —Unverified | 0 | 0 |
| ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning | Jul 18, 2020 | BIG-bench Machine LearningInference Attack | —Unverified | 0 | 0 |
| τ: Gradient-based and Task-Agnostic machine Unlearning | Mar 21, 2024 | Inference AttackMachine Unlearning | —Unverified | 0 | 0 |
| On the Effectiveness of Regularization Against Membership Inference Attacks | Jun 9, 2020 | image-classificationImage Classification | —Unverified | 0 | 0 |
| On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel | Aug 1, 2022 | Benchmarkingimage-classification | —Unverified | 0 | 0 |
| On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models | Mar 12, 2021 | AttributeBIG-bench Machine Learning | —Unverified | 0 | 0 |
| On the Privacy Risk of In-context Learning | Nov 15, 2024 | In-Context LearningInference Attack | —Unverified | 0 | 0 |
