| Adversarial Privacy Preservation under Attribute Inference Attack | Sep 25, 2019 | AttributeInference Attack | —Unverified | 0 | 0 |
| Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation | Jun 19, 2019 | AttributeInference Attack | —Unverified | 0 | 0 |
| A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures | Mar 24, 2024 | Federated LearningGraph Neural Network | —Unverified | 0 | 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 | 0 |
| An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms | Jan 28, 2021 | De-identificationInference Attack | —Unverified | 0 | 0 |
| An Efficient Subpopulation-based Membership Inference Attack | Mar 4, 2022 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| A new membership inference attack that spots memorization in generative and predictive models: Loss-Based with Reference Model algorithm (LBRM) | May 6, 2025 | ImputationInference Attack | —Unverified | 0 | 0 |
| An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks | Sep 17, 2020 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks | May 26, 2025 | DiversityGraph Neural Network | —Unverified | 0 | 0 |
| A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information | Oct 17, 2022 | Computational EfficiencyDynamic neural networks | —Unverified | 0 | 0 |
