TrustAIoT / CR-SAMLinks
Code for AAAI 2024 paper: CR-SAM: Curvature Regularized Sharpness-Aware Minimization
☆10Updated 11 months ago
Alternatives and similar repositories for CR-SAM
Users that are interested in CR-SAM are comparing it to the libraries listed below
Sorting:
- ☆58Updated 2 years ago
- ☆11Updated 2 years ago
- [CVPR 2024] This repository includes the official implementation our paper "Revisiting Adversarial Training at Scale"☆20Updated last year
- ☆36Updated 2 years ago
- [NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation☆45Updated 2 years ago
- Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]☆28Updated 2 years ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆53Updated 2 years ago
- This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".☆46Updated 2 years ago
- ☆34Updated last year
- Official Implementation for PlugIn Inversion☆16Updated 4 years ago
- gradient norm penalty☆41Updated last year
- [NeurIPS'22] Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. Haotao Wang, Junyuan Hong,…☆15Updated last year
- Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)☆72Updated 2 years ago
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆20Updated 2 years ago
- Official implementation of "When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture" published at Neur…☆34Updated last year
- Official PyTorch implementation for Frequency Domain-based Dataset Distillation [NeurIPS 2023]☆30Updated last year
- Robust Principles: Architectural Design Principles for Adversarially Robust CNNs☆23Updated last year
- Official Code of The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks[ICML2022]☆17Updated 3 years ago
- ☆19Updated last year
- ☆23Updated last year
- This is the official implementation of the ICML 2023 paper - Can Forward Gradient Match Backpropagation ?☆12Updated 2 years ago
- Certified Patch Robustness via Smoothed Vision Transformers☆42Updated 3 years ago
- [CVPR 2024] Friendly Sharpness-Aware Minimization☆34Updated last year
- Decoupled Kullback-Leibler Divergence Loss (DKL), NeurIPS 2024 / Generalized Kullback-Leibler Divergence Loss (GKL)☆48Updated 3 months ago
- This is unofficial repository for Towards Efficient and Scalable Sharpness-Aware Minimization.☆36Updated last year
- ☆23Updated 3 years ago
- Respect to the input tensor instead of paramters of NN☆21Updated 3 years ago
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Updated 2 years ago
- [CVPR 2022] "Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free" by Tianlong Chen*, Zhenyu Zhang*, Yihua Zhang*, Shiyu C…☆27Updated 3 years ago
- Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off☆33Updated 3 years ago