| Differentially Private Bias-Term Fine-tuning of Foundation Models | Sep 30, 2022 | Privacy Preserving | CodeCode Available | 1 |
| Differentially Private Federated Learning: A Client Level Perspective | Dec 20, 2017 | Federated LearningPrivacy 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 |
| Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds | May 6, 2016 | Privacy Preserving | CodeCode Available | 1 |
| Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data | Aug 7, 2023 | Contrastive LearningFederated 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 |
| Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning | Sep 12, 2022 | Federated Learningimage-classification | CodeCode Available | 1 |
| A Distributed Trust Framework for Privacy-Preserving Machine Learning | Jun 3, 2020 | BIG-bench Machine LearningData Poisoning | 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 |
