| CATS: Conditional Adversarial Trajectory Synthesis for Privacy-Preserving Trajectory Data Publication Using Deep Learning Approaches | Sep 20, 2023 | EthicsGraph Matching | CodeCode Available | 1 |
| A2XP: Towards Private Domain Generalization | Nov 17, 2023 | Domain GeneralizationPrivacy Preserving | CodeCode Available | 1 |
| Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning | Sep 12, 2022 | Federated Learningimage-classification | CodeCode Available | 1 |
| Communication-Efficient Federated Learning with Binary Neural Networks | Oct 5, 2021 | BinarizationFederated Learning | CodeCode Available | 1 |
| Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline | Apr 1, 2024 | Anomaly DetectionPrivacy Preserving | CodeCode Available | 1 |
| Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds | May 6, 2016 | Privacy Preserving | CodeCode Available | 1 |
| Adversarially-Guided Portrait Matting | May 4, 2023 | Image MattingPrivacy Preserving | CodeCode Available | 1 |
| CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU | Apr 22, 2021 | BIG-bench Machine LearningCPU | CodeCode Available | 1 |
| Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data | Aug 7, 2023 | Contrastive LearningFederated Learning | CodeCode Available | 1 |
| DCT-CryptoNets: Scaling Private Inference in the Frequency Domain | Aug 27, 2024 | image-classificationImage Classification | CodeCode Available | 1 |
