| Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory | Oct 27, 2023 | Privacy Preserving | CodeCode Available | 1 |
| CipherPrune: Efficient and Scalable Private Transformer Inference | Feb 24, 2025 | Privacy 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 |
| Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning | Sep 12, 2022 | Federated Learningimage-classification | 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 |
| Attack-Aware Noise Calibration for Differential Privacy | Jul 2, 2024 | Privacy PreservingSensitivity | CodeCode Available | 1 |
| Continual atlas-based segmentation of prostate MRI | Nov 1, 2023 | Continual Learningimage-classification | CodeCode Available | 1 |
| Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data | Aug 7, 2023 | Contrastive LearningFederated Learning | CodeCode Available | 1 |
| CryptoNN: Training Neural Networks over Encrypted Data | Apr 15, 2019 | BIG-bench Machine LearningPrivacy Preserving | CodeCode Available | 1 |
| Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning | Nov 18, 2020 | BIG-bench Machine LearningPrivacy Preserving | CodeCode Available | 1 |
