| CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU | Apr 22, 2021 | BIG-bench Machine LearningCPU | CodeCode Available | 1 |
| DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation | Mar 20, 2021 | Dimensionality ReductionNavigate | CodeCode Available | 1 |
| Differentially Private Bias-Term Fine-tuning of Foundation Models | Sep 30, 2022 | Privacy Preserving | CodeCode Available | 1 |
| COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity Recognition | Mar 10, 2025 | Activity RecognitionHuman Activity Recognition | CodeCode Available | 1 |
| A Comprehensive Survey of Synthetic Tabular Data Generation | Apr 23, 2025 | Privacy PreservingSurvey | 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 |
| Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds | May 6, 2016 | Privacy Preserving | CodeCode Available | 1 |
| CipherPrune: Efficient and Scalable Private Transformer Inference | Feb 24, 2025 | Privacy Preserving | CodeCode Available | 1 |
| Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training? | Mar 16, 2020 | Privacy Preserving | CodeCode Available | 1 |
