| GLiRA: Black-Box Membership Inference Attack via Knowledge Distillation | May 13, 2024 | image-classificationImage Classification | CodeCode Available | 0 |
| Federated Graph Condensation with Information Bottleneck Principles | May 7, 2024 | Graph LearningInference Attack | —Unverified | 0 |
| Towards Reliable Empirical Machine Unlearning Evaluation: A Game-Theoretic View | Apr 17, 2024 | Inference AttackMachine Unlearning | —Unverified | 0 |
| Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning | Apr 6, 2024 | Bayesian OptimizationFederated Learning | —Unverified | 0 |
| A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures | Mar 24, 2024 | Federated LearningGraph Neural Network | —Unverified | 0 |
| τ: Gradient-based and Task-Agnostic machine Unlearning | Mar 21, 2024 | Inference AttackMachine Unlearning | —Unverified | 0 |
| Low-Cost Privacy-Preserving Decentralized Learning | Mar 18, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk | Mar 14, 2024 | Inference AttackMembership Inference Attack | CodeCode Available | 1 |
| Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks | Mar 4, 2024 | Inference AttackPrivacy Preserving | CodeCode Available | 0 |
| On the Impact of Uncertainty and Calibration on Likelihood-Ratio Membership Inference Attacks | Feb 16, 2024 | Conformal PredictionInference Attack | —Unverified | 0 |
