qizhangli / TA-BenchLinks
Code for our NeurIPS 2023 paper Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly
☆14Updated last year
Alternatives and similar repositories for TA-Bench
Users that are interested in TA-Bench are comparing it to the libraries listed below
Sorting:
- Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"☆18Updated 7 months ago
- A curated list of papers for the transferability of adversarial examples☆73Updated last year
- ☆22Updated 2 years ago
- Enhancing the Self-Universality for Transferable Targeted Attacks [CVPR 2023 Paper]☆37Updated last year
- Official codes for GRA (Accepted by ICCV2023)☆17Updated 2 years ago
- ☆37Updated last year
- The official repo for the paper "An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability"☆41Updated 2 years ago
- ☆35Updated 2 years ago
- The official code of IEEE S&P 2024 paper "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferabili…☆20Updated last year
- Revisiting Transferable Adversarial Images (TPAMI 2025)☆130Updated last month
- Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.☆18Updated 2 years ago
- ☆78Updated 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
- Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples☆111Updated 3 years ago
- Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregatio…☆27Updated 2 years ago
- [NeurIPS 2023] Boosting Adversarial Transferability by Achieving Flat Local Maxima☆31Updated last year
- Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability☆23Updated 3 years ago
- [ACM MM 2023] Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer.☆21Updated last year
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆27Updated 2 years ago
- CVPR 2025 - Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models☆53Updated 2 months ago
- ☆12Updated last year
- Code for LAS-AT: Adversarial Training with Learnable Attack Strategy (CVPR2022)☆117Updated 3 years ago
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆51Updated 2 years ago
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆31Updated 3 years ago
- Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks(CVPR2023)☆17Updated 2 years ago
- Official codes for FPR (Accepted by CVPR2025)☆11Updated 7 months ago
- Code for the paper "StyLess: Boosting the Transferability of Adversarial Examples" (CVPR 2023)☆26Updated 2 years ago
- Beyond imagenet attack (accepted by ICLR 2022) towards crafting adversarial examples for black-box domains.☆60Updated 3 years ago
- [CVPR 2023] Official implementation of the Clean Feature Mixup (CFM) method☆21Updated 2 years ago
- ☆41Updated last year