zhaoshiji123 / MTARDLinks
The Code of ECCV2022:Enhanced Accuracy and Robustness via Multi-Teacher Adversarial Distillation
☆35Updated 4 months ago
Alternatives and similar repositories for MTARD
Users that are interested in MTARD are comparing it to the libraries listed below
Sorting:
- Enhancing the Self-Universality for Transferable Targeted Attacks [CVPR 2023 Paper]☆37Updated last year
- [ICLR 2022] "Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?" by Yonggan Fu, Shunyao Zhang, Shang Wu…☆34Updated 3 years ago
- ☆35Updated last year
- A curated list of papers for the transferability of adversarial examples☆72Updated last year
- Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).☆33Updated 2 years ago
- [CVPR 2023] Official implementation of the Clean Feature Mixup (CFM) method☆19Updated 2 years ago
- Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples☆111Updated 3 years ago
- ☆22Updated 2 years ago
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆26Updated 2 years ago
- [ACM MM 2023] Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer.☆20Updated last year
- Adversarial Robustness, White-box, Adversarial Attack☆51Updated 3 years ago
- [CVPR 2023] T-SEA: Transfer-based Self-Ensemble Attack on Object Detection☆112Updated 11 months ago
- The official repo for the paper "An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability"☆41Updated last year
- Revisiting Transferable Adversarial Images (TPAMI 2025)☆130Updated 2 weeks ago
- Code for LAS-AT: Adversarial Training with Learnable Attack Strategy (CVPR2022)☆117Updated 3 years ago
- Official Pytorch implementation for "Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization" (CVPR 20…☆28Updated 2 years ago
- ☆35Updated 2 years ago
- code for "Feature Importance-aware Transferable Adversarial Attacks"☆83Updated 3 years ago
- ☆31Updated last year
- Convert tensorflow model to pytorch model via [MMdnn](https://github.com/microsoft/MMdnn) for adversarial attacks.☆91Updated 2 years ago
- Implements Adversarial Examples for Semantic Segmentation and Object Detection, using PyTorch and Detectron2☆51Updated 4 years ago
- Towards Efficient and Effective Adversarial Training, NeurIPS 2021☆17Updated 3 years ago
- Code for our NeurIPS 2023 paper Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly☆14Updated last year
- Enhancing the Transferability of Adversarial Attacks through Variance Tuning☆89Updated last year
- Code repository for Ensemble-based Blackbox Attacks on Dense Prediction (EBAD), CVPR 2023☆28Updated last year
- A Paperlist of Adversarial Attack on Object Detection☆123Updated 2 years ago
- [ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers☆21Updated 3 years ago
- ☆11Updated last year
- Codes for CVPR2020 paper "Towards Transferable Targeted Attack".☆15Updated 3 years ago
- Physically Adversarial Infrared Patches with Learnable Shapes and Locations☆39Updated 2 years ago