BardOfCodes / universal_pytorchLinks
Pytorch implementation of Universal Adverserial Perturbation and Fast Feature Fool
☆22Updated 6 years ago
Alternatives and similar repositories for universal_pytorch
Users that are interested in universal_pytorch are comparing it to the libraries listed below
Sorting:
- Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)☆57Updated 6 years ago
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆58Updated 5 years ago
- Source code for Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses (ECCV 2020)☆41Updated 6 years ago
- Improving Transferability of Adversarial Examples with Input Diversity☆164Updated 6 years ago
- Spatially Transformed Adversarial Examples with TensorFlow☆74Updated 6 years ago
- PyTorch library for adversarial attack and training☆146Updated 6 years ago
- Generalized Data-free Universal Adversarial Perturbations☆69Updated 6 years ago
- Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)☆101Updated 4 years ago
- Data independent universal adversarial perturbations☆62Updated 5 years ago
- Codes for ICLR 2020 paper "Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets"☆70Updated 4 years ago
- Code for "Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors"☆64Updated 5 years ago
- This is PyTorch Implementation of Universal Adversarial Perturbation (https://arxiv.org/abs/1610.08401)☆46Updated 6 years ago
- Generative Adversarial Perturbations (CVPR 2018)☆138Updated 4 years ago
- Code for NeurIPS 2019 Paper☆47Updated 5 years ago
- The translation-invariant adversarial attack method to improve the transferability of adversarial examples.☆141Updated last year
- This repo contains the code for CVPR submission "Big but Invisible Adversarial Attack"☆30Updated 5 years ago
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆53Updated 4 years ago
- A fast sparse attack on deep neural networks.☆50Updated 4 years ago
- SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations☆14Updated 3 years ago
- The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch☆60Updated 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
- Further improve robustness of mixup-trained models in inference (ICLR 2020)☆60Updated 5 years ago
- Learnable Boundary Guided Adversarial Training (ICCV2021)☆38Updated 7 months ago
- Adversarial Examples for Semantic Segmentation and Object Detection☆125Updated 7 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆95Updated 3 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Updated 5 years ago
- ☆45Updated 5 years ago
- A repository for the query-efficient black-box attack, SignHunter☆23Updated 5 years ago
- ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"☆37Updated 3 years ago
- ☆48Updated 4 years ago