Adversarial Examples and their implications

In this article, we are going to talk about adversarial attacks and discuss their implications for deep learning model and their security.

Autoencoders 

Autoencoders (AE) are a family of neural networks for which the input is the same as the output*. They work by compressing the input into a latent-spacerepresentation, and then reconstructing the output from this representation.

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