| Defending Model Inversion and Membership Inference Attacks via Prediction Purification | May 8, 2020 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| De-identification is not always enough | Jan 31, 2024 | De-identificationInference Attack | —Unverified | 0 | 0 |
| DeSIA: Attribute Inference Attacks Against Limited Fixed Aggregate Statistics | Apr 25, 2025 | AttributeInference Attack | —Unverified | 0 | 0 |
| Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation | Jan 18, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Differentially Private Data Generative Models | Dec 6, 2018 | BIG-bench Machine LearningFederated Learning | —Unverified | 0 | 0 |
| Differentially Private k-Means Clustering with Guaranteed Convergence | Feb 3, 2020 | ClusteringInference Attack | —Unverified | 0 | 0 |
| Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks | Feb 4, 2022 | AttributeFairness | —Unverified | 0 | 0 |
| Disparate Privacy Vulnerability: Targeted Attribute Inference Attacks and Defenses | Apr 5, 2025 | AttributeInference Attack | —Unverified | 0 | 0 |
| Do Backdoors Assist Membership Inference Attacks? | Mar 22, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk? | Jun 1, 2023 | AttributeInference Attack | —Unverified | 0 | 0 |
