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  1. Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTorch).

    Python 56 9

  2. Reference implementations for RecurJac, CROWN, FastLin and FastLip (Neural Network verification and robustness certification algorithms)

    Python 18 1

  3. Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework

    Python 13 2

  4. ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks

    Python 118 39

  5. Robustness vs Accuracy Survey on ImageNet

    Python 85 23

  6. Development Repository for GPU-accelerated GBDT training

    C++ 54 14

56 contributions in the last year

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Contribution activity

April 2021

huanzhang12 has no activity yet for this period.

March 2021

Created 8 commits in 1 repository

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