MTandHJ / robocLinks
An Orthogonal Classifier for Improving the Adversarial Robustness of Neural Networks
☆14Updated 3 years ago
Alternatives and similar repositories for roboc
Users that are interested in roboc are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59Updated 6 years ago
- Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]☆27Updated 3 years ago
- Adversarial Distributional Training (NeurIPS 2020)☆63Updated 4 years ago
- ☆35Updated 4 years ago
- PyTorch adversarial attack baselines for ImageNet, CIFAR10, and MNIST (state-of-the-art attacks comparison)☆19Updated 4 years ago
- Detection of adversarial examples using influence functions and nearest neighbors☆36Updated 2 years ago
- Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks☆39Updated 4 years ago
- PyTorch implementations of Adversarial defenses and utils.☆34Updated last year
- Code for the ICCV 2021 paper "Augmented Lagrangian Adversarial Attacks"☆22Updated last year
- CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection☆20Updated 3 years ago
- Implementation of adversarial training under fast-gradient sign method (FGSM), projected gradient descent (PGD) and CW using Wide-ResNet-…☆40Updated 5 years ago
- Learnable Boundary Guided Adversarial Training (ICCV2021)☆38Updated 7 months ago
- Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off☆33Updated 3 years ago
- The official pytorch implementation of ACM MM 19 paper "MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks"☆11Updated 4 years ago
- PyTorch implementation of "Feature Denoising for Improving Adversarial Robustness" on CIFAR10.☆35Updated 5 years ago
- Codes for reproducing query-efficient black-box attacks in “AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking B…☆58Updated 5 years ago
- Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020☆27Updated 4 years ago
- Code for ICML2019 Paper "On the Convergence and Robustness of Adversarial Training"☆34Updated 5 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆95Updated 3 years ago
- [NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".☆47Updated last year
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 3 years ago
- Pytorch code for ens_adv_train☆15Updated 6 years ago
- Foolbox implementation for NeurIPS 2021 Paper: "Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints".☆25Updated 3 years ago
- Codes for reproducing the results of the paper "Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness" published at IC…☆27Updated 5 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆150Updated 4 years ago
- A PyTorch implementation of the method found in "Adversarially Robust Few-Shot Learning: A Meta-Learning Approach"☆49Updated 4 years ago
- Max Mahalanobis Training (ICML 2018 + ICLR 2020)☆90Updated 4 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆125Updated last year
- Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)☆45Updated 4 years ago
- Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)☆29Updated last year