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Code for the 2017 Kaggle Competition in Adversarial Defense for image classification

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NIPS 2017 - Adversarial Defense

This folder contains the files used in my final submission to the NIPS 2017: Defense Against Adversarial Attack competition, hosted by Kaggle in association with Google Brain.

This code was placed 24th out of 107 teams (Top 23%), as can be seen in my Kaggle profile.

These files are derived from the cleverhans library, developed by Ian Goodfellow and hosted at TensorFlow's repo. The Inception checkpoint was trained by Google and provided online.

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Code for the 2017 Kaggle Competition in Adversarial Defense for image classification

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