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  1. Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

    Python 196 36

  2. Official repository for our NeurIPS 2020 *oral* "Do Adversarially Robust ImageNet Models Transfer Better?"

    Python 194 32

  3. Official repository for our NeurIPS 2021 paper "Unadversarial Examples: Designing Objects for Robust Vision"

    Python 85 16

  4. Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs

    Jupyter Notebook 76 15

  5. A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

    Jupyter Notebook 682 136

  6. FFCV: Fast Forward Computer Vision (and other ML workloads!)

    Python 2k 101

814 contributions in the last year

Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr Mon Wed Fri
Activity overview
Contributed to 3db/3db, MadryLab/smoothed-vit, libffcv/ffcv and 5 other repositories

Contribution activity

April 2022

11 contributions in private repositories Apr 1 – Apr 11

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