| A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis | Jan 18, 2022 | Domain AdaptationInference Attack | —Unverified | 0 |
| Disparate Privacy Vulnerability: Targeted Attribute Inference Attacks and Defenses | Apr 5, 2025 | AttributeInference Attack | —Unverified | 0 |
| Do Backdoors Assist Membership Inference Attacks? | Mar 22, 2023 | 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 |
| Differentially Private k-Means Clustering with Guaranteed Convergence | Feb 3, 2020 | ClusteringInference Attack | —Unverified | 0 |
| Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation | Jun 19, 2019 | AttributeInference Attack | —Unverified | 0 |
| Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks | Feb 4, 2022 | AttributeFairness | —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 |
| Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk? | Jun 1, 2023 | AttributeInference Attack | —Unverified | 0 |
| DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks | May 16, 2020 | Domain AdaptationInference Attack | —Unverified | 0 |
