Muzammal-Naseer / ATViTView external linksLinks
Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)
☆73Nov 19, 2022Updated 3 years ago
Alternatives and similar repositories for ATViT
Users that are interested in ATViT are comparing it to the libraries listed below
Sorting:
- Official repository for "On Generating Transferable Targeted Perturbations" (ICCV 2021)☆62Mar 25, 2023Updated 2 years ago
- ☆13Apr 7, 2022Updated 3 years ago
- Official repository for "Intriguing Properties of Vision Transformers" (NeurIPS 2021--Spotlight)☆183Aug 9, 2022Updated 3 years ago
- ☆37Jul 3, 2024Updated last year
- Official repository for "Boosting Adversarial Transferability using Dynamic Cues " (ICLR 2023)☆20Aug 24, 2023Updated 2 years ago
- [ACCV 2024] ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes 🚀🚀🚀☆37Jan 21, 2025Updated last year
- ☆71May 18, 2021Updated 4 years ago
- Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)☆100Apr 30, 2021Updated 4 years ago
- Code for "Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes"☆15Dec 20, 2020Updated 5 years ago
- This repository is the official implementation of [Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks (NeurIPS'22)](http…☆26Feb 13, 2023Updated 3 years ago
- (BMVC 2022--Oral) Official repository for "Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations" …☆34Jan 8, 2023Updated 3 years ago
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆51Nov 17, 2022Updated 3 years ago
- [MICCAI 2025] Hierarchical Self-Supervised Adversarial Training for Robust Vision Models in Histopathology☆12Jun 17, 2025Updated 7 months ago
- Official repository for "Stylized Adversarial Training" (TPAMI 2022)☆11Dec 30, 2022Updated 3 years ago
- Implementation of our NeurIPS 2019 paper: Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks☆10Dec 16, 2019Updated 6 years ago
- Code repository for Blackbox Attacks via Surrogate Ensemble Search (BASES), NeurIPS 2022☆13Aug 6, 2024Updated last year
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30May 16, 2022Updated 3 years ago
- Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"☆18Mar 12, 2025Updated 11 months ago
- [ICLR 2022] "Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?" by Yonggan Fu, Shunyao Zhang, Shang Wu…☆33Mar 16, 2022Updated 3 years ago
- Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).☆122Dec 3, 2022Updated 3 years ago
- Code for the paper "On the Adversarial Robustness of Visual Transformers"☆59Nov 18, 2021Updated 4 years ago
- ☆35Dec 16, 2022Updated 3 years ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Feb 10, 2023Updated 3 years ago
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Dec 16, 2022Updated 3 years ago
- [CVPRW 2025] Official repository of paper titled "Towards Evaluating the Robustness of Visual State Space Models"☆25Jun 8, 2025Updated 8 months ago
- Enhancing the Transferability of Adversarial Attacks through Variance Tuning☆90Feb 23, 2024Updated last year
- Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.☆94Mar 13, 2022Updated 3 years ago
- [NeurIPS2021] Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks☆34Jul 5, 2024Updated last year
- Revisiting Transferable Adversarial Images (TPAMI 2025)☆140Sep 11, 2025Updated 5 months ago
- TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.☆440Jan 16, 2026Updated last month
- [NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch implementation & checkpoints)☆180Dec 9, 2021Updated 4 years ago
- Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability☆24Oct 16, 2022Updated 3 years ago
- The implementation of our paper: Towards Robust Vision Transformer (CVPR2022)☆142Aug 16, 2022Updated 3 years ago
- Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)☆64Jul 7, 2021Updated 4 years ago
- [MICCAI 2024 🔥] HLSS, the first study to explore hierarchical information inherent in histopathology images and their language descripti…☆27Aug 5, 2024Updated last year
- Official Implementation of the ECCV 2022 Paper "Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer"☆17Aug 14, 2022Updated 3 years ago
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆31Apr 22, 2022Updated 3 years ago
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Nov 21, 2021Updated 4 years ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆54Feb 6, 2023Updated 3 years ago