| A Survey for Federated Learning Evaluations: Goals and Measures | Aug 23, 2023 | Federated LearningPrivacy Preserving | CodeCode Available | 1 | 5 |
| Extracting Training Data from Diffusion Models | Jan 30, 2023 | Privacy 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 |
| Exploring Federated Unlearning: Review, Comparison, and Insights | Oct 30, 2023 | Federated LearningPrivacy Preserving | CodeCode Available | 1 | 5 |
| Active Membership Inference Attack under Local Differential Privacy in Federated Learning | Feb 24, 2023 | Federated LearningInference Attack | CodeCode Available | 1 | 5 |
| Differential Privacy for Text Analytics via Natural Text Sanitization | Jun 2, 2021 | Language ModelingLanguage Modelling | CodeCode Available | 1 | 5 |
| Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation | Apr 14, 2022 | Federated LearningPrivacy Preserving | CodeCode Available | 1 | 5 |
| DistFL: Distribution-aware Federated Learning for Mobile Scenarios | Oct 22, 2021 | Federated LearningPrivacy Preserving | CodeCode Available | 1 | 5 |
| Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity | May 26, 2024 | DiversityFairness | CodeCode Available | 1 | 5 |
| ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing | Jun 8, 2020 | CPUFederated Learning | CodeCode Available | 1 | 5 |
