| DP-GPL: Differentially Private Graph Prompt Learning | Mar 13, 2025 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| AugMixCloak: A Defense against Membership Inference Attacks via Image Transformation | May 11, 2025 | Data AugmentationFederated Learning | —Unverified | 0 |
| Do Backdoors Assist Membership Inference Attacks? | Mar 22, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Effectiveness of L2 Regularization in Privacy-Preserving Machine Learning | Dec 2, 2024 | Inference AttackL2 Regularization | —Unverified | 0 |
| A hierarchical approach for assessing the vulnerability of tree-based classification models to membership inference attack | Feb 13, 2025 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Against Membership Inference Attack: Pruning is All You Need | Aug 28, 2020 | AllFraud Detection | —Unverified | 0 |
| Machine unlearning via GAN | Nov 22, 2021 | Inference AttackMachine Unlearning | —Unverified | 0 |
| Epsilon*: Privacy Metric for Machine Learning Models | Jul 21, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis | Jan 18, 2022 | Domain AdaptationInference Attack | —Unverified | 0 |
| Many-Shot Regurgitation (MSR) Prompting | May 13, 2024 | ArticlesInference Attack | —Unverified | 0 |
| Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment | Jul 8, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Federated Graph Condensation with Information Bottleneck Principles | May 7, 2024 | Graph LearningInference Attack | —Unverified | 0 |
| Membership Inference Attack against Long-Context Large Language Models | Nov 18, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Differentially Private Data Generative Models | Dec 6, 2018 | BIG-bench Machine LearningFederated Learning | —Unverified | 0 |
| Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation | Jan 18, 2024 | Inference AttackMembership Inference Attack | —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 |
| De-identification is not always enough | Jan 31, 2024 | De-identificationInference Attack | —Unverified | 0 |
| Defending Model Inversion and Membership Inference Attacks via Prediction Purification | May 8, 2020 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information | Oct 17, 2022 | Computational EfficiencyDynamic neural networks | —Unverified | 0 |
| A Comprehensive Study of Privacy Risks in Curriculum Learning | Oct 16, 2023 | AttributeInference Attack | —Unverified | 0 |
| Membership Inference Attack Against Masked Image Modeling | Aug 13, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models | Jun 18, 2024 | FairnessInference Attack | —Unverified | 0 |
| An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks | May 26, 2025 | DiversityGraph Neural Network | —Unverified | 0 |
| Knowledge Cross-Distillation for Membership Privacy | Nov 2, 2021 | Inference AttackKnowledge Distillation | —Unverified | 0 |
| Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation | May 30, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
