JerryMazeyu / DRA-BlackBoxAttackLinks
An unofficial implementation of the paper《Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective》
☆22Updated 2 years ago
Alternatives and similar repositories for DRA-BlackBoxAttack
Users that are interested in DRA-BlackBoxAttack are comparing it to the libraries listed below
Sorting:
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆51Updated 2 years ago
- Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.☆18Updated 2 years ago
- code for "Feature Importance-aware Transferable Adversarial Attacks"☆84Updated 3 years ago
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated 2 years ago
- Official Tensorflow implementation for "Improving the Transferability of Adversarial Samples by Path-Augmented Method" (CVPR 2023).☆12Updated 2 years ago
- ☆71Updated 4 years ago
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆26Updated 2 years ago
- Enhancing the Transferability of Adversarial Attacks through Variance Tuning☆89Updated last year
- Generalized Data-free Universal Adversarial Perturbations in PyTorch☆20Updated 5 years ago
- Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples☆111Updated 3 years ago
- TIFS2022: Decision-based Adversarial Attack with Frequency Mixup☆23Updated 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
- [NeurIPS 2023] Boosting Adversarial Transferability by Achieving Flat Local Maxima☆31Updated last year
- Code for the paper "StyLess: Boosting the Transferability of Adversarial Examples" (CVPR 2023)☆26Updated 2 years ago
- Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability☆23Updated 3 years ago
- Convert tensorflow model to pytorch model via [MMdnn](https://github.com/microsoft/MMdnn) for adversarial attacks.☆91Updated 2 years ago
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆31Updated 3 years ago
- [CVPR 2022] Official implementation of the Object-based Diverse Input (ODI) method☆23Updated 3 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
- ☆27Updated 3 years ago
- Official code for "Boosting the Adversarial Transferability of Surrogate Model with Dark Knowledge"☆12Updated last year
- Official repository for CVPR 2022 paper 'Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution'☆27Updated 3 years ago
- ☆22Updated 2 years ago
- Code for LAS-AT: Adversarial Training with Learnable Attack Strategy (CVPR2022)☆117Updated 3 years ago
- The code of our AAAI 2021 paper "Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-transform Domain"☆16Updated 4 years ago
- Adversarial Robustness, White-box, Adversarial Attack☆51Updated 3 years ago
- Code for "Adversarial attack by dropping information." (ICCV 2021)☆78Updated 3 years ago
- ☆31Updated 4 years ago
- ☆18Updated 2 years ago
- Towards Efficient and Effective Adversarial Training, NeurIPS 2021☆17Updated 3 years ago