ArchNet: Data Hiding Model in Distributed Machine Learning System

no code implementations • 23 Apr 2020 • Kaiyan Chang, Wei Jiang, Jinyu Zhan, Zicheng Gong, Weijia Pan

Specifically, our design can improve the accuracy on MNIST up to 97. 26% compared with RC4. The accuracies on the datasets encrypted by ArchNet are 97. 26%, 84. 15% and 79. 80%, and they are 97. 31%, 82. 31% and 80. 22% on the original datasets, which shows that the encrypted accuracy of ArchNet has the same performance as the base model.

BIG-bench Machine Learning Cloud Computing +1