Skip to content

Latest commit

 

History

History
5 lines (3 loc) · 376 Bytes

README.md

File metadata and controls

5 lines (3 loc) · 376 Bytes

Fast-Gradient-Sign-Attack

Attacking a Convolutional Neural Network (CNN) having ReLU activations with adversarial images generated using Fast Gradient Sign Attack (FGSM) techniques (both un-targeted and targeted), thus exposing threats to a highly confident CNN.

Utilized PyTorch framework for development. Used Google Colaboratory to use GPU while training the model.