ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare
Authors: Ali Burak Ünal, Mete Akgün, Nico Pfeifer | Published: 2020-12-04
フレームワーク
SynGAN: Towards Generating Synthetic Network Attacks using GANs
Authors: Jeremy Charlier, Aman Singh, Gaston Ormazabal, Radu State, Henning Schulzrinne | Published: 2019-08-26
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
Authors: Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Yuan Li, Xu Liu, Bingsheng He | Published: 2019-07-23 | Updated: 2021-12-05
Adversarial Defense Framework for Graph Neural Network
Authors: Shen Wang, Zhengzhang Chen, Jingchao Ni, Xiao Yu, Zhichun Li, Haifeng Chen, Philip S. Yu | Published: 2019-05-09 | Updated: 2019-05-10
SEALion: a Framework for Neural Network Inference on Encrypted Data
Authors: Tim van Elsloo, Giorgio Patrini, Hamish Ivey-Law | Published: 2019-04-29