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Second-Order Provable Defenses against Adversarial Attacks

Code for reproducing experiments in "Second-Order Provable Defenses against Adversarial Attacks".

Prerequisites

  • Python, NumPy, Pytorch, Argparse, Matplotlib
  • A recent NVIDIA GPU

Basic Usage

To train a robust model, run python main.py. To access all the parameters use python main.py --help.

To evaluate a trained model, run python eval.py with the hyperparameters specified for the model.

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Code for ICML paper "Second-Order Provable Defenses against Adversarial Attacks"

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