  The network-based machine learning algorithm is very powerful tools. However,
it requires huge training dataset. Researchers often meet privacy issues when
they collect image dataset especially for surveillance applications. A
learnable image encryption scheme is introduced. The key idea of this scheme is
to encrypt images, so that human cannot understand images but the network can
be train with encrypted images. This scheme allows us to train the network
without the privacy issues. In this paper, a simple learnable image encryption
algorithm is proposed. Then, the proposed algorithm is validated with cifar
dataset.

Computer Vision and Pattern Recognition;Machine Learning