ydc123 / Dark_Surrogate_ModelLinks
Official code for "Boosting the Adversarial Transferability of Surrogate Model with Dark Knowledge"
☆11Updated last year
Alternatives and similar repositories for Dark_Surrogate_Model
Users that are interested in Dark_Surrogate_Model are comparing it to the libraries listed below
Sorting:
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆51Updated 2 years ago
- ☆22Updated 2 years ago
- Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples☆108Updated 2 years ago
- ☆35Updated 2 years ago
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated 2 years ago
- code for "Feature Importance-aware Transferable Adversarial Attacks"☆82Updated 3 years ago
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆26Updated 2 years ago
- A curated list of papers for the transferability of adversarial examples☆72Updated last year
- The official code of IEEE S&P 2024 paper "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferabili…☆19Updated 10 months ago
- Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability☆22Updated 2 years ago
- Revisiting Transferable Adversarial Images (arXiv)☆124Updated 4 months ago
- Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"☆18Updated 4 months ago
- Adversarial Robustness, White-box, Adversarial Attack☆50Updated 3 years ago
- Beyond imagenet attack (accepted by ICLR 2022) towards crafting adversarial examples for black-box domains.☆60Updated 3 years ago
- Enhancing the Transferability of Adversarial Attacks through Variance Tuning☆88Updated last year
- 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
- ☆71Updated 4 years ago
- Codes for CVPR2020 paper "Towards Transferable Targeted Attack".☆15Updated 3 years ago
- Code for Transferable Unlearnable Examples☆20Updated 2 years ago
- Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks(CVPR2023)☆16Updated 2 years ago
- Official PyTorch implementation of "Towards Efficient Data Free Black-Box Adversarial Attack" (CVPR 2022)☆18Updated 2 years ago
- ☆58Updated 2 years ago
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆29Updated 3 years ago
- Convert tensorflow model to pytorch model via [MMdnn](https://github.com/microsoft/MMdnn) for adversarial attacks.☆89Updated 2 years ago
- Generalized Data-free Universal Adversarial Perturbations in PyTorch☆19Updated 4 years ago
- [ACM MM 2023] Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer.☆20Updated last year
- ☆35Updated last year
- Code for LAS-AT: Adversarial Training with Learnable Attack Strategy (CVPR2022)☆117Updated 3 years 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
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated 2 years ago