| A Distributed Trust Framework for Privacy-Preserving Machine Learning | Jun 3, 2020 | BIG-bench Machine LearningData Poisoning | CodeCode Available | 1 |
| DeceFL: A Principled Decentralized Federated Learning Framework | Jul 15, 2021 | Federated LearningPrivacy Preserving | CodeCode Available | 1 |
| Attack-Aware Noise Calibration for Differential Privacy | Jul 2, 2024 | Privacy PreservingSensitivity | CodeCode Available | 1 |
| Differentially Private Bias-Term Fine-tuning of Foundation Models | Sep 30, 2022 | Privacy Preserving | CodeCode Available | 1 |
| Differentially Private Optimization on Large Model at Small Cost | Sep 30, 2022 | Privacy Preserving | CodeCode Available | 1 |
| ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram Digitization | Jul 4, 2023 | Data AugmentationDecision Making | CodeCode Available | 1 |
| DistFL: Distribution-aware Federated Learning for Mobile Scenarios | Oct 22, 2021 | Federated LearningPrivacy Preserving | CodeCode Available | 1 |
| Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural Networks | Apr 28, 2020 | BIG-bench Machine LearningPrivacy Preserving | CodeCode Available | 1 |
| Can Foundation Models Help Us Achieve Perfect Secrecy? | May 27, 2022 | Federated LearningIn-Context Learning | CodeCode Available | 1 |
| Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning | Sep 12, 2022 | Federated Learningimage-classification | CodeCode Available | 1 |
