pralab / ImageNet-Patch
☆38Updated 9 months ago
Related projects ⓘ
Alternatives and complementary repositories for ImageNet-Patch
- Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)☆70Updated 2 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 2 years ago
- PyTorch implementations of Adversarial defenses and utils.☆34Updated 10 months ago
- Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off☆29Updated 2 years ago
- Foolbox implementation for NeurIPS 2021 Paper: "Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints".☆25Updated 2 years ago
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59Updated 5 years ago
- Official repo for the paper "Make Some Noise: Reliable and Efficient Single-Step Adversarial Training" (https://arxiv.org/abs/2202.01181)☆25Updated 2 years ago
- Official repository for "On Generating Transferable Targeted Perturbations" (ICCV 2021)☆59Updated last year
- ☆60Updated 9 months ago
- Code for the paper "On the Adversarial Robustness of Visual Transformers"☆54Updated 3 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆54Updated 2 years ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆52Updated last year
- Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks☆37Updated 3 years ago
- ☆27Updated 2 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆94Updated 3 years ago
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆46Updated 3 years ago
- Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)☆97Updated 3 years ago
- Universal Adversarial Perturbations (UAPs) for PyTorch☆46Updated 3 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆46Updated 2 years ago
- ☆29Updated 2 years ago
- ☆23Updated 3 years ago
- Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020☆24Updated 3 years ago
- Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)☆58Updated 3 years ago
- ☆35Updated 3 years ago
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆39Updated 3 years ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆92Updated 2 years ago
- [NeurIPS2021] Code Release of Learning Transferable Perturbations☆26Updated 2 years ago
- ☆22Updated 3 years ago
- Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)☆29Updated last year
- Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.☆43Updated last year