Pinned Repositories
RobustTrees
[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
SA_DQN
[NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning
StateAdvDRL
[NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"
treeVerification
[NeurIPS 2019] H. Chen*, H. Zhang*, S. Si, Y. Li, D. Boning and C.-J. Hsieh, Robustness Verification of Tree-based Models (*equal contribution)
Adversarial_Survey
Robustness vs Accuracy Survey on ImageNet
ATLA_robust_RL
Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework
CROWN-IBP
Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTorch).
ImageCaptioningAttack
Show-and-Fool: Adversarial Examples for Image Captioning task
GCN_ADV_Train
Adversarial training for Graph Neural Networks
chenhongge's Repositories
chenhongge/StateAdvDRL
[NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"
chenhongge/RobustTrees
[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
chenhongge/SA_DQN
[NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning
chenhongge/treeVerification
[NeurIPS 2019] H. Chen*, H. Zhang*, S. Si, Y. Li, D. Boning and C.-J. Hsieh, Robustness Verification of Tree-based Models (*equal contribution)