DiffAttack
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An unrestricted attack based on diffusion models that can achieve both good transferability and imperceptibility.
The inception model I reproduced couldn't do what you did. We usually have 229✖229 as input for that model, here it is 224✖224. does this have any effect please? Looking...
Thank you very much for your open source, I have encountered the following problem with the pre-trained diffusion model from huggingface. Traceback (most recent call last): File "/root/code/DiffAttack-main/main.py", line 107,...
Thanks for your excellent work. I found that it took six hours to train just 1,000 images. This is certainly cost intensive. I would like to ask if this is...
Hello, may I ask if I have downloaded the pre-training model you sent to the local, changed the path in the code, or this problem, may I ask what is...
When I try to use the Stanford_Car dataset, I need to provide the weights file ‘STCAR_Res_94.35.pth’, but I didn't find a link to download it in github.
Hello, I'm really interested in your work! However, I have some questions about the adversarial attack with text perturbation. In Table 5, the adversarial attack with only perturbation on the...
Hello, I am currently reproducing your paper. Regarding Figure 4, I have some questions that I would like to ask you: 1. Is the dataset Imagene-compatible? 2. Besides DiffAttack, which...
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Dear author: DiffAttack is such a novel and meaningful work for the community! Thanks to your contribution! I would like to consult you that whether I can change the batch_size...
只需要给自己数据集的每个类别添加文字描述,并制作成 label.txt,然后设置好数据集路径就可以吗?