| Differentially Private Federated Learning: A Client Level Perspective | Dec 20, 2017 | Federated LearningPrivacy Preserving | CodeCode Available | 1 | 5 |
| A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-Service | Mar 30, 2020 | Deep LearningPrivacy Preserving | CodeCode Available | 1 | 5 |
| CipherPrune: Efficient and Scalable Private Transformer Inference | Feb 24, 2025 | Privacy Preserving | CodeCode Available | 1 | 5 |
| A Distributed Trust Framework for Privacy-Preserving Machine Learning | Jun 3, 2020 | BIG-bench Machine LearningData Poisoning | CodeCode Available | 1 | 5 |
| Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline | Apr 1, 2024 | Anomaly DetectionPrivacy Preserving | CodeCode Available | 1 | 5 |
| Federated Boosted Decision Trees with Differential Privacy | Oct 6, 2022 | Privacy Preserving | CodeCode Available | 1 | 5 |
| Differentially Private Federated Knowledge Graphs Embedding | May 17, 2021 | Graph EmbeddingKnowledge Graph Embedding | CodeCode Available | 1 | 5 |
| Federated Learning for Computational Pathology on Gigapixel Whole Slide Images | Sep 21, 2020 | Deep LearningDiagnostic | CodeCode Available | 1 | 5 |
| Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning | Sep 12, 2022 | Federated Learningimage-classification | CodeCode Available | 1 | 5 |
| DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation | Feb 26, 2020 | Privacy PreservingSensitivity | CodeCode Available | 1 | 5 |
