matbambbang / pgd_adversarial_trainingLinks
Adversarial training with PGD adversarial examples
☆33Updated 5 years ago
Alternatives and similar repositories for pgd_adversarial_training
Users that are interested in pgd_adversarial_training are comparing it to the libraries listed below
Sorting:
- Feature Scattering Adversarial Training (NeurIPS19)☆73Updated last year
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆97Updated 3 years ago
- The implementation of our paper: Composite Adversarial Attacks (AAAI2021)☆30Updated 3 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆150Updated 4 years ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Updated 4 years ago
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59Updated 6 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆47Updated 3 years ago
- Reproduce multiple adversarial attack methods☆21Updated 5 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- [ICCV 2019] Enhancing Adversarial Example Transferability with an Intermediate Level Attack (https://arxiv.org/abs/1907.10823)☆78Updated 5 years ago
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆53Updated 4 years ago
- Repository for Certified Defenses for Adversarial Patch ICLR-2020☆32Updated 4 years ago
- A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"☆57Updated 5 years ago
- RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)☆56Updated 4 years ago
- ☆157Updated 4 years ago
- Detection of adversarial examples using influence functions and nearest neighbors☆36Updated 2 years ago
- Consistency Regularization for Adversarial Robustness (AAAI 2022)☆53Updated 3 years ago
- [NeurIPS2021] Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks☆34Updated 11 months ago
- Code for the unrestricted adversarial examples paper (NeurIPS 2018)☆64Updated 5 years ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆87Updated 4 years ago
- ☆58Updated 2 years ago
- Code for the paper "(De)Randomized Smoothing for Certifiable Defense against Patch Attacks" by Alexander Levine and Soheil Feizi.☆17Updated 2 years ago
- ☆41Updated last year
- ☆60Updated 3 years ago
- Codes for ICLR 2020 paper "Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets"☆71Updated 4 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆55Updated 3 years ago
- [NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang☆114Updated 3 years ago
- Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)☆171Updated 2 years ago
- Adversarial Distributional Training (NeurIPS 2020)☆63Updated 4 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆125Updated last year