| A Survey for Federated Learning Evaluations: Goals and Measures | Aug 23, 2023 | Federated LearningPrivacy Preserving | CodeCode Available | 1 |
| PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments | Apr 29, 2021 | CPUFederated Learning | CodeCode Available | 1 |
| PrivacyFL: A simulator for privacy-preserving and secure federated learning | Feb 19, 2020 | Federated LearningPrivacy Preserving | CodeCode Available | 1 |
| Privacy-Preserving Action Recognition via Motion Difference Quantization | Aug 4, 2022 | Action RecognitionPrivacy Preserving | CodeCode Available | 1 |
| Privacy-preserving data sharing via probabilistic modelling | Dec 10, 2019 | Privacy PreservingSynthetic Data Generation | CodeCode Available | 1 |
| Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset | Jun 12, 2019 | Action RecognitionPrivacy Preserving | CodeCode Available | 1 |
| Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework | Apr 29, 2020 | Distributed OptimizationPrivacy Preserving | CodeCode Available | 1 |
| Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta Learning | Aug 11, 2023 | Meta-LearningPrivacy Preserving | CodeCode Available | 1 |
| A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures | Mar 31, 2024 | Privacy PreservingSurvey | CodeCode Available | 1 |
| A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications | Aug 31, 2023 | Privacy Preserving | CodeCode Available | 1 |
