tanimutomo / cifar10-c-eval
Testing a model performance for CIFAR10-C
☆34Updated 5 years ago
Alternatives and similar repositories for cifar10-c-eval
Users that are interested in cifar10-c-eval are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 3 years ago
- Unofficial pytorch implementation of Fourier Heat Map proposed in 'A Fourier Perspective on Model Robustness in Computer Vision' [Yin+, N…☆74Updated last year
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆52Updated 2 years ago
- Code for CVPR22 paper "Deep Unlearning via Randomized Conditionally Independent Hessians"☆25Updated 2 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆46Updated 3 years ago
- ☆63Updated last year
- Code for the paper "On the Adversarial Robustness of Visual Transformers"☆56Updated 3 years ago
- [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"☆45Updated 3 years ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆96Updated 3 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 2 years ago
- Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)☆16Updated 2 years ago
- Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off☆30Updated 3 years ago
- (Pytorch) Training ResNets on ImageNet-100 data☆57Updated 3 years ago
- Official repository for "On Generating Transferable Targeted Perturbations" (ICCV 2021)☆61Updated 2 years ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Updated 4 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 3 years ago
- Official implementation of "When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture" published at Neur…☆33Updated 7 months ago
- Knowledge distillation (KD) from a decision-based black-box (DB3) teacher without training data.☆21Updated 3 years ago
- PyTorch implementations of Adversarial defenses and utils.☆34Updated last year
- An Numpy and PyTorch Implementation of CKA-similarity with CUDA support☆90Updated 4 years ago
- Data-Free Network Quantization With Adversarial Knowledge Distillation PyTorch☆29Updated 3 years ago
- Learnable Boundary Guided Adversarial Training (ICCV2021)☆38Updated 5 months ago
- Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)☆72Updated 2 years ago
- [ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers☆21Updated 3 years ago
- ☆11Updated last year
- Implemented CURE algorithm from robustness via curvature regularization and vice versa☆31Updated 2 years ago
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆53Updated 3 years ago
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59Updated 5 years ago
- Adversarially Robust Transfer Learning with LWF loss applied to the deep feature representation (penultimate) layer☆18Updated 5 years ago
- Code for "Improving Robustness of Vision Transformers by Reducing Sensitivity to Patch Corruptions"☆11Updated last year