| Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning | Sep 12, 2022 | Federated Learningimage-classification | CodeCode Available | 1 |
| CipherPrune: Efficient and Scalable Private Transformer Inference | Feb 24, 2025 | Privacy Preserving | CodeCode Available | 1 |
| Communication-Efficient Federated Learning with Binary Neural Networks | Oct 5, 2021 | BinarizationFederated Learning | CodeCode Available | 1 |
| CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU | Apr 22, 2021 | BIG-bench Machine LearningCPU | CodeCode Available | 1 |
| Can Foundation Models Help Us Achieve Perfect Secrecy? | May 27, 2022 | Federated LearningIn-Context Learning | CodeCode Available | 1 |
| BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities | Jan 24, 2025 | Brain DecodingImage Reconstruction | CodeCode Available | 1 |
| Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory | Oct 27, 2023 | Privacy Preserving | CodeCode Available | 1 |
| Attack-Aware Noise Calibration for Differential Privacy | Jul 2, 2024 | Privacy PreservingSensitivity | 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 |
| Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural Networks | Apr 28, 2020 | BIG-bench Machine LearningPrivacy Preserving | CodeCode Available | 1 |
