imrahulr / hatLinks
Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off
☆33Updated 3 years ago
Alternatives and similar repositories for hat
Users that are interested in hat are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59Updated 6 years ago
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 3 years ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Updated 4 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 the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆52Updated 2 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
- Implementation for <Understanding Robust Overftting of Adversarial Training and Beyond> in ICML'22.☆12Updated 3 years ago
- Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks☆39Updated 4 years ago
- [ICLR 2022 official code] Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?☆29Updated 3 years ago
- A Self-Consistent Robust Error (ICML 2022)☆68Updated 2 years ago
- Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)☆72Updated 2 years ago
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆41Updated 3 years ago
- Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)☆61Updated 4 years ago
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆19Updated 2 years ago
- ☆58Updated 3 years ago
- Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020☆27Updated 4 years ago
- [CVPR 2024] This repository includes the official implementation our paper "Revisiting Adversarial Training at Scale"☆20Updated last year
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 3 years ago
- Official repository for "On Generating Transferable Targeted Perturbations" (ICCV 2021)☆62Updated 2 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆95Updated 3 years ago
- PyTorch implementations of Adversarial defenses and utils.☆34Updated last year
- ☆35Updated 4 years ago
- Learnable Boundary Guided Adversarial Training (ICCV2021)☆38Updated 7 months ago
- SEAT☆21Updated last year
- Code for the paper "On the Adversarial Robustness of Visual Transformers"☆57Updated 3 years ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆97Updated 3 years ago
- Implementation of Confidence-Calibrated Adversarial Training (CCAT).☆45Updated 5 years ago
- Certified Patch Robustness via Smoothed Vision Transformers☆42Updated 3 years ago
- ☆40Updated last year
- Official Code for Scaling Adversarial Training to Large Perturbation Bounds (ECCV-2022)☆11Updated 2 years ago