| Bounding Information Leakage in Machine Learning | May 9, 2021 | AttributeBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning | Jun 22, 2024 | Federated LearningInference Attack | —Unverified | 0 | 0 |
| Similarity-based Label Inference Attack against Training and Inference of Split Learning | Mar 10, 2022 | ClusteringInference Attack | —Unverified | 0 | 0 |
| Inferring Communities of Interest in Collaborative Learning-based Recommender Systems | Jun 15, 2023 | Community DetectionFederated Learning | —Unverified | 0 | 0 |
| Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks | May 24, 2022 | AttributeInference Attack | —Unverified | 0 | 0 |
| Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature | Jul 3, 2024 | Deep LearningInference Attack | —Unverified | 0 | 0 |
| DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks | May 16, 2020 | Domain AdaptationInference Attack | —Unverified | 0 | 0 |
| Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models | Jun 18, 2024 | FairnessInference Attack | —Unverified | 0 | 0 |
| Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges | Sep 17, 2019 | BIG-bench Machine LearningInference Attack | —Unverified | 0 | 0 |
| Batch Label Inference and Replacement Attacks in Black-Boxed Vertical Federated Learning | Dec 10, 2021 | Federated LearningInference Attack | —Unverified | 0 | 0 |
