ZiangYan / deepdefense.pytorchLinks
Implementation of our NeurIPS 2018 paper: Deep Defense: Training DNNs with Improved Adversarial Robustness
☆39Updated 6 years ago
Alternatives and similar repositories for deepdefense.pytorch
Users that are interested in deepdefense.pytorch are comparing it to the libraries listed below
Sorting:
- Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing the…☆55Updated 2 years ago
- ☆25Updated 5 years ago
- Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network☆62Updated 6 years ago
- Code for "Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors"☆14Updated 6 years ago
- Rob-GAN: Generator, Discriminator and Adversarial Attacker☆85Updated 6 years ago
- Further improve robustness of mixup-trained models in inference (ICLR 2020)☆60Updated 5 years ago
- Analysis of Adversarial Logit Pairing☆60Updated 6 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- Deflecting Adversarial Attacks with Pixel Deflection☆71Updated 7 years ago
- Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)☆45Updated 4 years ago
- Robustness vs Accuracy Survey on ImageNet☆98Updated 3 years ago
- [ICCV'19] Improving Adversarial Robustness via Guided Complement Entropy☆40Updated 5 years ago
- [ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation☆54Updated last month
- Pytorch Adversarial Attack Framework☆78Updated 6 years ago
- Max Mahalanobis Training (ICML 2018 + ICLR 2020)☆90Updated 4 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Updated 5 years ago
- Code for the NeurIPS 2019 submission: "Improving Black-box Adversarial Attacks with a Transfer-based Prior".☆16Updated 5 years ago
- Towards Robust ResNet: A Small Step but a Giant Leap (IJCAI 2019)☆9Updated 4 years ago
- ☆18Updated 5 years ago
- Code for NeurIPS 2019 Paper☆47Updated 5 years ago
- Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"☆135Updated 4 years ago
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆58Updated 5 years ago
- PyTorch library for adversarial attack and training☆145Updated 6 years ago
- ☆48Updated 4 years ago
- Ensemble Adversarial Training on MNIST☆121Updated 8 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)☆57Updated 6 years ago
- An Algorithm to Quantify Robustness of Recurrent Neural Networks☆49Updated 5 years ago
- Logit Pairing Methods Can Fool Gradient-Based Attacks [NeurIPS 2018 Workshop on Security in Machine Learning]☆19Updated 6 years ago
- A PyTorch baseline attack example for the NIPS 2017 adversarial competition☆86Updated 7 years ago