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Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTorch).
Reference implementations for RecurJac, CROWN, FastLin and FastLip (Neural Network verification and robustness certification algorithms)
Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks
Robustness vs Accuracy Survey on ImageNet
Development Repository for GPU-accelerated GBDT training
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