There are no reviews yet. Be the first to send feedback to the community and the maintainers!
Repository Details
In order to defend neural networks against malicious attacks, recent approaches propose the use of secret keys in the training or inference pipelines of learning systems. However, the secrecy of the key is often not discussed. In the Thesis, we explore the issue for the case of a recently proposed key-based deep neural network.
