| Accuracy-Privacy Trade-off in Deep Ensemble: A Membership Inference Perspective | May 12, 2021 | Ensemble LearningInference Attack | CodeCode Available | 0 | 5 |
| An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models | Aug 17, 2022 | Inference AttackMembership Inference Attack | CodeCode Available | 0 | 5 |
| Membership Inference Attacks on DNNs using Adversarial Perturbations | Jul 11, 2023 | Inference AttackMembership Inference Attack | CodeCode Available | 0 | 5 |
| Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach | Nov 6, 2024 | DiversityInference Attack | CodeCode Available | 0 | 5 |
| Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning | Nov 29, 2023 | Federated LearningInference Attack | CodeCode Available | 0 | 5 |
| Label Inference Attack against Split Learning under Regression Setting | Jan 18, 2023 | Federated LearningInference Attack | CodeCode Available | 0 | 5 |
| Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks | Mar 4, 2024 | Inference AttackPrivacy Preserving | CodeCode Available | 0 | 5 |
| Inferring Sensitive Attributes from Model Explanations | Aug 21, 2022 | AttributeInference Attack | CodeCode Available | 0 | 5 |
| Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models | Oct 30, 2023 | AllInference Attack | CodeCode Available | 0 | 5 |
| GLiRA: Black-Box Membership Inference Attack via Knowledge Distillation | May 13, 2024 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
