Awesome

RobustAdversarialNetwork

A pytorch re-implementation for paper "Towards Deep Learning Models Resistant to Adversarial Attacks"

Requirements

• pytorch>0.4
• torchvision
• tensorboardX

Parameters

All the parameters are defined in config.py

• exp_name: experiment name, will be used for construct output directory
• snap_dir: root directory to save snapshots, it works with exp_name to form a directory for a specific experiment

Usage

Training

python train.py