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View Code? Open in Web Editor NEWOfficial Source Code of the paper "Exploring Effective Data for Surrogate Training Towards Black-box Attack", which is accepted by CVPR 2022
License: MIT License
Official Source Code of the paper "Exploring Effective Data for Surrogate Training Towards Black-box Attack", which is accepted by CVPR 2022
License: MIT License
Hi Xuxiang,
Thank you so much for your wonderful paper! I really enjoyed it!
I was wondering what is the timeline for releasing the code?
BTW, did you ask the author of DDG for their code? Because I found their code wasn't also open-sourced.
Thank you very much!
All the best.
Hi,
Could you please share the code to compute the boundary loss (figure 2, main paper)? Thank you very much!
Best,
Ngoc
您好,非常感谢您开源代码!为了能够进一步复现论文中的实验结果,能否提供您所使用的受害者模型的模型参数文件?
Very meaningful work! When can I open source complete code
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