CGCL-codes / TransferAttackSurrogatesLinks
The official code of IEEE S&P 2024 paper "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability". We study how to train surrogates model for boosting transfer attack.
☆20Updated last year
Alternatives and similar repositories for TransferAttackSurrogates
Users that are interested in TransferAttackSurrogates are comparing it to the libraries listed below
Sorting:
- Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples☆111Updated 3 years ago
- A curated list of papers for the transferability of adversarial examples☆72Updated last year
- code for "Feature Importance-aware Transferable Adversarial Attacks"☆84Updated 3 years ago
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆26Updated 2 years ago
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆51Updated 2 years ago
- Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability☆23Updated 2 years ago
- ☆22Updated 2 years ago
- Beyond imagenet attack (accepted by ICLR 2022) towards crafting adversarial examples for black-box domains.☆60Updated 3 years ago
- Generalized Data-free Universal Adversarial Perturbations in PyTorch☆20Updated 4 years ago
- Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"☆18Updated 6 months ago
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆31Updated 3 years ago
- Code for Transferable Unlearnable Examples☆21Updated 2 years ago
- Enhancing the Transferability of Adversarial Attacks through Variance Tuning☆89Updated last year
- ☆35Updated 2 years ago
- Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.☆18Updated 2 years ago
- The extension of "Patch-wise Attack for Fooling Deep Neural Network (ECCV2020)", and we aim to boost the success rates of targeted attack…☆28Updated 3 years ago
- ☆35Updated last year
- TIFS2022: Decision-based Adversarial Attack with Frequency Mixup☆23Updated 2 years ago
- [NeurIPS 2023] Boosting Adversarial Transferability by Achieving Flat Local Maxima☆31Updated last year
- ☆71Updated 4 years ago
- [ACM MM 2023] Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer.☆21Updated last year
- Code for LAS-AT: Adversarial Training with Learnable Attack Strategy (CVPR2022)☆117Updated 3 years ago
- [CVPR 2022] Official implementation of the Object-based Diverse Input (ODI) method☆23Updated 3 years ago
- Adversarial Robustness, White-box, Adversarial Attack☆51Updated 3 years ago
- Revisiting Transferable Adversarial Images (TPAMI 2025)☆130Updated 3 weeks ago
- Code for the paper "StyLess: Boosting the Transferability of Adversarial Examples" (CVPR 2023)☆26Updated 2 years ago
- Official code for "Boosting the Adversarial Transferability of Surrogate Model with Dark Knowledge"☆12Updated last year
- Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregatio…☆27Updated 2 years ago
- ☆31Updated last year
- ☆26Updated 3 years ago