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TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.

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请问 ![微信图片_20240514113056](https://github.com/Trustworthy-AI-Group/TransferAttack/assets/88812684/63fb1ca2-07c3-4349-8a69-c729d9c18a22) 出现运行错误,如何解决?

- [x] add M3D method - [x] add a new args `target_class` into AdvDataset class in transferattack/utils.py - [x] modify the main.py to run and evaluate M3D method - [...

fix: fix the bug in anda.py for loop - Change the variable name in the for loop from _ to i - This resolves the issue where the loop variable...

Hi, thanks for sharing this great repo and all the attack implementations! I had a question regarding evaluation: if the goal is to compare attack effectiveness across different victim models,...

您好,我发现运行该框架中DIM,TIM,SIM,BSR等方法生成的对抗样本在Inc_v3_adv Inc_v3_ens3 Inc_v3_ens4 Inc_res_v2_ens这类模型上的攻击成功率远高于其论文中的值,比如下面这个DIM方法利用inception_v3模型生成的结果 ![Image](https://github.com/user-attachments/assets/a85e7593-c7fa-4d57-b969-034c03be7d2f)

Thank you for your great work! I noticed that the choice of interpolation method can significantly affect the performance of input transformations. In the original DIM implementation, the interpolation option...

Thank you for your great work! I noticed that when saving images in the JPEG format, the pixel values are altered due to compression artifacts. This issue affects the effectiveness...

![Image](https://github.com/user-attachments/assets/43b3e70e-21c1-4fcd-89e2-2ea6d7568ca3) ![Image](https://github.com/user-attachments/assets/72212db3-f5dc-42c0-9b7b-0bcbf3b0edad)