SCLBD / Transfer_attack_RAP
☆32Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Transfer_attack_RAP
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated last year
- ☆32Updated 4 months ago
- code for "Feature Importance-aware Transferable Adversarial Attacks"☆77Updated 2 years ago
- Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"☆17Updated last year
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆28Updated 2 years ago
- Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks(CVPR2023)☆17Updated last year
- Official Tensorflow implementation for "Improving Adversarial Transferability via Neuron Attribution-based Attacks" (CVPR 2022)☆33Updated last year
- Official code for "Boosting the Adversarial Transferability of Surrogate Model with Dark Knowledge"☆11Updated 11 months ago
- ☆21Updated last year
- Official PyTorch implementation of "Towards Efficient Data Free Black-Box Adversarial Attack" (CVPR 2022)☆15Updated 2 years ago
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆47Updated 2 years ago
- [CVPR 2022] Official implementation of the Object-based Diverse Input (ODI) method☆21Updated 2 years ago
- Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability☆24Updated 2 years ago
- [ICLR 2022] "Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?" by Yonggan Fu, Shunyao Zhang, Shang Wu…☆32Updated 2 years ago
- A curated list of papers for the transferability of adversarial examples☆55Updated 4 months ago
- Beyond imagenet attack (accepted by ICLR 2022) towards crafting adversarial examples for black-box domains.☆58Updated 2 years ago
- ☆68Updated 3 years ago
- Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples☆90Updated 2 years ago
- [NeurIPS 2023] Boosting Adversarial Transferability by Achieving Flat Local Maxima☆27Updated 9 months ago
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆23Updated 2 years ago
- Enhancing the Transferability of Adversarial Attacks through Variance Tuning☆81Updated 9 months ago
- Generalized Data-free Universal Adversarial Perturbations in PyTorch☆17Updated 4 years ago
- Adversarial Robustness, White-box, Adversarial Attack☆50Updated 2 years ago
- [ACM MM 2023] Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer.☆16Updated 9 months ago
- LiangSiyuan21 / Parallel-Rectangle-Flip-Attack-A-Query-based-Black-box-Attack-against-Object-DetectionA Implementation of ICCV-2021(Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection)☆28Updated 3 years ago
- Revisiting Transferable Adversarial Images (arXiv)☆114Updated last month
- [CVPR 2022 oral] Subspace Adversarial Training☆26Updated last year
- Towards Efficient and Effective Adversarial Training, NeurIPS 2021☆16Updated 2 years ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated last year
- Code for the paper "StyLess: Boosting the Transferability of Adversarial Examples" (CVPR 2023)☆24Updated last year