aamir-mustafa / pcl-adversarial-defenseLinks
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019
☆58Updated 5 years ago
Alternatives and similar repositories for pcl-adversarial-defense
Users that are interested in pcl-adversarial-defense are comparing it to the libraries listed below
Sorting:
- Pytorch Adversarial Attack Framework☆78Updated 6 years ago
- Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"☆136Updated 4 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆74Updated last year
- Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)☆58Updated 6 years ago
- ☆26Updated 6 years ago
- Spatially Transformed Adversarial Examples with TensorFlow☆75Updated 6 years ago
- Generative Adversarial Perturbations (CVPR 2018)☆138Updated 4 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆142Updated 5 years ago
- PyTorch library for adversarial attack and training☆146Updated 6 years ago
- Further improve robustness of mixup-trained models in inference (ICLR 2020)☆60Updated 5 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Updated 6 years ago
- Generalized Data-free Universal Adversarial Perturbations☆70Updated 7 years ago
- Pytorch implementation of Universal Adverserial Perturbation and Fast Feature Fool☆22Updated 6 years ago
- [ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation☆54Updated 4 months ago
- Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural trai…☆175Updated last year
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆95Updated 4 years ago
- Source code for Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses (ECCV 2020)☆42Updated 6 years ago
- A fast sparse attack on deep neural networks.☆51Updated 5 years ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆186Updated 5 years ago
- Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)☆100Updated 4 years ago
- Code for FAB-attack☆33Updated 5 years ago
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆162Updated 5 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- Data independent universal adversarial perturbations☆63Updated 5 years ago
- Adversarial Examples for Semantic Segmentation and Object Detection☆124Updated 7 years ago
- Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"☆103Updated 6 years ago
- Code for "Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors"☆64Updated 5 years ago
- Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing the…☆55Updated 2 years ago
- Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"☆198Updated 2 years ago
- Image Super-Resolution as a Defense Against Adversarial Attacks☆90Updated 6 years ago