anonymous-sushi-armadillo / fast_is_better_than_free_CIFAR10Links
☆13Updated last year
Alternatives and similar repositories for fast_is_better_than_free_CIFAR10
Users that are interested in fast_is_better_than_free_CIFAR10 are comparing it to the libraries listed below
Sorting:
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆96Updated 4 years ago
- Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020☆27Updated 5 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆74Updated last year
- [ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.☆25Updated last year
- Adversarial Distributional Training (NeurIPS 2020)☆63Updated 4 years ago
- Strongest attack against Feature Scatter and Adversarial Interpolation☆25Updated 6 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆48Updated 3 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆56Updated 3 years ago
- MACER: MAximizing CErtified Radius (ICLR 2020)☆30Updated 5 years ago
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆53Updated 5 years ago
- ☆16Updated 6 years ago
- A Self-Consistent Robust Error (ICML 2022)☆69Updated 2 years ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated 2 years ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Updated 4 years ago
- RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)☆56Updated 5 years ago
- Code for FAB-attack☆34Updated 5 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆141Updated 5 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 3 years ago
- ☆35Updated 5 years ago
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59Updated 6 years ago
- Implementation of Wasserstein adversarial attacks.☆24Updated 4 years ago
- Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]☆28Updated 3 years ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆98Updated 3 years ago
- ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)☆37Updated 5 years ago
- ☆161Updated 4 years ago
- Code for Black-Box Adversarial Attack with Transferable Model-based Embedding☆58Updated 5 years ago
- ☆58Updated 3 years ago
- Code for the paper "On the Adversarial Robustness of Visual Transformers"☆59Updated 4 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 3 years ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆54Updated 2 years ago