| Production of Categorical Data Verifying Differential Privacy: Conception and Applications to Machine Learning | Apr 2, 2022 | BIG-bench Machine LearningPrivacy Preserving | CodeCode Available | 1 | 5 |
| Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark | Jan 11, 2025 | Anomaly DetectionPose-based Anomaly Detection | CodeCode Available | 1 | 5 |
| Extracting Training Data from Diffusion Models | Jan 30, 2023 | Privacy Preserving | CodeCode Available | 1 | 5 |
| Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion Attacks | Mar 13, 2025 | Federated LearningPrivacy Preserving | CodeCode Available | 1 | 5 |
| Protecting Sensory Data against Sensitive Inferences | Feb 21, 2018 | Activity RecognitionAttribute | CodeCode Available | 1 | 5 |
| ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing | Jun 8, 2020 | CPUFederated Learning | CodeCode Available | 1 | 5 |
| Fast Federated Learning by Balancing Communication Trade-Offs | May 23, 2021 | Federated LearningPrivacy Preserving | CodeCode Available | 1 | 5 |
| FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise | Dec 20, 2023 | Federated LearningImage Segmentation | CodeCode Available | 1 | 5 |
| Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion Models | Oct 23, 2023 | De-identificationDenoising | CodeCode Available | 1 | 5 |
| A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures | Mar 31, 2024 | Privacy PreservingSurvey | CodeCode Available | 1 | 5 |
