Sushil-Thapa / adversarial-neural-cryotography

LEARNING TO PROTECT COMMUNICATIONS WITH ADVERSARIAL NEURAL CRYPTOGRAPHY [Pytorch Implementation]

Adversarial Neural Cryotography (WIP)

Reproducing Andersan et al. (Google Brain)'s "LEARNING TO PROTECT COMMUNICATIONS WITH ADVERSARIAL NEURAL CRYPTOGRAPHY" in Pytorch.

This work is an independent project to get handson experience on Adversarial Neural Nets and GANs.

Requirements

1. Python 3.6+
2. PyTorch

Usage

1. Run python main.py --save {--gpu}. This will create errors.csv in data/. Essentially this is the base Adversarial Neural CryptoNets[1].

References

1. Andersan et al. "LEARNING TO PROTECT COMMUNICATIONS WITH ADVERSARIAL NEURAL CRYPTOGRAPHY" International Conference on Machine Learning. 2017. (pdf)

TODO List

• Build Neural Agents based on Fully Connected layers
• Design and Implement Cryptography Algorithms with Adversarial Nets.
• Train the Adversarial agents based on Convolutional Architectures.
• Reinforcement Learning based Adversarial Examples.