Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-privacy-preserving-machine-learning
A curated list of awesome privacy preserving machine learning resources
https://github.com/innovation-cat/awesome-privacy-preserving-machine-learning
- poga/awesome-federated-learning
- timmers/awesome-federated-learning
- innovation-cat/Awesome-Federated-Machine-Learning
- Why differential privacy is awesome
- Deep Learning with Differential Privacy - arXiv 2016
- Differentially Private Federated Learning: A Client Level Perspective - arXiv 2016
- Learning differentially private recurrent language models - ICLR 2018
- Scalable Private Learning with PATE - ICLR 2018
- Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data - ICLR 2017
- SHE: A Fast and Accurate Deep Neural Network for Encrypted Data - NeurIPS 2019
- Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference - arXiv 2018
- The AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs - arXiv 2018
- CryptoDL: Deep Neural Networks over Encrypted Data - arXiv 2017
- Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption - arXiv 2017 (Apply additively homomorphic encryption algorithm to Federated Learning)
- CryptoNets: applying neural networks to encrypted data with high throughput and accuracy - ICML 2016