| 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 |
| 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 |
| On the Impact of Uncertainty and Calibration on Likelihood-Ratio Membership Inference Attacks | Feb 16, 2024 | Conformal PredictionInference Attack | —Unverified | 0 |
| Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks? | Feb 14, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning | Feb 7, 2024 | Image ClassificationInference Attack | —Unverified | 0 |
| De-identification is not always enough | Jan 31, 2024 | De-identificationInference Attack | —Unverified | 0 |
| Inference Attacks Against Face Recognition Model without Classification Layers | Jan 24, 2024 | Face RecognitionGenerative Adversarial Network | —Unverified | 0 |
