ndb796 / PyTorch-Adversarial-Attack-Baselines-for-ImageNet-CIFAR10-MNISTLinks
PyTorch adversarial attack baselines for ImageNet, CIFAR10, and MNIST (state-of-the-art attacks comparison)
☆19Updated 4 years ago
Alternatives and similar repositories for PyTorch-Adversarial-Attack-Baselines-for-ImageNet-CIFAR10-MNIST
Users that are interested in PyTorch-Adversarial-Attack-Baselines-for-ImageNet-CIFAR10-MNIST are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM☆25Updated 5 years ago
- CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection☆20Updated 3 years ago
- Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)☆100Updated 4 years ago
- Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020☆27Updated 4 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆56Updated 3 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 3 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆95Updated 4 years ago
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59Updated 6 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆151Updated 4 years ago
- Implementation of Wasserstein adversarial attacks.☆23Updated 4 years ago
- Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)☆29Updated 2 years ago
- Official repository for "On Generating Transferable Targeted Perturbations" (ICCV 2021)☆62Updated 2 years ago
- Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]☆28Updated 3 years ago
- Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)☆16Updated 2 years ago
- An Orthogonal Classifier for Improving the Adversarial Robustness of Neural Networks☆14Updated 3 years ago
- Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks☆39Updated 4 years ago
- Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks☆46Updated 3 years ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Updated 4 years ago
- Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)☆62Updated 4 years ago
- Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off☆33Updated 3 years ago
- Code for the ICCV 2021 paper "Augmented Lagrangian Adversarial Attacks"☆23Updated last year
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated 2 years ago
- [NeurIPS2021] Code Release of Learning Transferable Perturbations☆28Updated 9 months ago
- Learnable Boundary Guided Adversarial Training (ICCV2021)☆38Updated 9 months ago
- RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)☆56Updated 4 years ago
- SEAT☆21Updated last year
- [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"☆46Updated 3 years ago
- ☆35Updated 4 years ago
- Code for the paper "On the Adversarial Robustness of Visual Transformers"☆59Updated 3 years ago
- ☆14Updated 5 years ago