anonymous-sushi-armadillo / fast_is_better_than_free_imagenet
☆10Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for fast_is_better_than_free_imagenet
- Unrestricted adversarial images via interpretable color transformations (TIFS 2023 & BMVC 2020)☆31Updated last year
- GreedyFool (NIPS2020) official code for saprse adversarial attack☆35Updated 4 years ago
- SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations☆13Updated 2 years ago
- Source code for Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses (ECCV 2020)☆41Updated 5 years ago
- [ECCV 2020] Pytorch codes for Open-set Adversarial Defense☆23Updated 2 years ago
- This repo contains the code for CVPR submission "Big but Invisible Adversarial Attack"☆30Updated 4 years ago
- Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)☆59Updated 5 years ago
- ☆19Updated 2 years ago
- Python implementation for paper: Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples☆11Updated 6 years ago
- Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation (ICCV2021)☆41Updated 3 years ago
- A pytorch re-implementation for paper "Towards Deep Learning Models Resistant to Adversarial Attacks"☆17Updated 5 years ago
- ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"☆36Updated 2 years ago
- LAFEAT: Piercing Through Adversarial Defenses with Latent Features (CVPR 2021 Oral)☆17Updated 3 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆84Updated 2 years ago
- Large yet imperceptible adversarial perturbations with perceptual color distance (CVPR 2020)☆56Updated last year
- PyTorch implementation of ColorFool: Semantic Adversarial Colorization, CVPR2020☆52Updated 4 years ago
- A fast sparse attack on deep neural networks.☆50Updated 4 years ago
- Code of our recently published attack FDA: Feature Disruptive Attack. Colab Notebook: https://colab.research.google.com/drive/1WhkKCrzFq5…☆21Updated 5 years ago
- ☆44Updated 4 years ago
- ☆22Updated 3 years ago
- [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…☆43Updated 2 years ago
- Code for ICCV2019 paper《Adversarial Learning with Margin-based Triplet Embedding Regularization》☆28Updated 5 years ago
- The official implementation codes of greedy residuals for the paper Watermarking Deep Neural Networks with Greedy Residuals (ICML 2021).☆24Updated 2 years ago
- Official repository for "Stylized Adversarial Training" (TPAMI 2022)☆11Updated last year
- Smooth Adversarial Training☆67Updated 4 years ago
- Codebase for "Exploring the Landscape of Spatial Robustness" (ICML'19, https://arxiv.org/abs/1712.02779).☆26Updated 5 years ago
- Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)☆97Updated 3 years ago
- Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image cor…☆62Updated last year
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆64Updated 5 years ago
- Pytorch implementation of Universal Adverserial Perturbation and Fast Feature Fool☆22Updated 5 years ago