zjfheart / Friendly-Adversarial-TrainingLinks
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)
☆125Updated last year
Alternatives and similar repositories for Friendly-Adversarial-Training
Users that are interested in Friendly-Adversarial-Training are comparing it to the libraries listed below
Sorting:
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆150Updated 4 years ago
- ☆158Updated 4 years ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Updated 4 years ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆97Updated 3 years ago
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆444Updated 11 months ago
- Feature Scattering Adversarial Training (NeurIPS19)☆73Updated last year
- ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)☆36Updated 4 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆142Updated 5 years ago
- Adversarial Distributional Training (NeurIPS 2020)☆63Updated 4 years ago
- PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.☆251Updated 4 years ago
- Empirical tricks for training robust models (ICLR 2021)☆254Updated 2 years ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆87Updated 4 years ago
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆210Updated 3 years ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated 2 years ago
- Detection of adversarial examples using influence functions and nearest neighbors☆36Updated 2 years ago
- ☆58Updated 2 years ago
- PyTorch Implementation of Adversarial Training for Free!☆248Updated 3 years ago
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆53Updated 4 years ago
- A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"☆156Updated 5 years ago
- [ICCV 2019] Enhancing Adversarial Example Transferability with an Intermediate Level Attack (https://arxiv.org/abs/1907.10823)☆79Updated 5 years ago
- Learnable Boundary Guided Adversarial Training (ICCV2021)☆38Updated 7 months ago
- Implementation of Wasserstein adversarial attacks.☆23Updated 4 years ago
- ☆85Updated 4 years ago
- This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.☆169Updated 4 years ago
- Code for the paper "On the Adversarial Robustness of Visual Transformers"☆58Updated 3 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆95Updated 3 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆47Updated 3 years ago
- Code for Black-Box Adversarial Attack with Transferable Model-based Embedding☆58Updated 5 years ago
- Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks☆39Updated 4 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆55Updated 3 years ago