Comments (3)
ylhz
commented on August 12, 2024
Hi! Thanks for your interest in our project!
Does the source model refer to the tf_resnet_v2_50 we provided, or the resnet50 in official torch?
from tf_to_pytorch_model.
oppsAirel
commented on August 12, 2024
resnet50 in official torch.從我的iPhone傳送Shengming Yuan ***@***.***> 於 2023年2月17日 20:45 寫道：
Hi! Thanks for your interest in our project!
Does the source model refer to the tf_resnet_v2_50 we provided, or the resnet50 in official torch?
—Reply to this email directly, view it on GitHub, or unsubscribe.You are receiving this because you authored the thread.Message ID: ***@***.***>
from tf_to_pytorch_model.
ylhz
commented on August 12, 2024
ResNet v2 50 is a different architecture than ResNet50. Therefore 54.2% is the black-box attack success rate, instead of the white-box attack success rate.
You need to test the white-box attack success rate on ResNet50 in torch.
from tf_to_pytorch_model.
Related Issues (10)
- batchsize = 1 传入模型的问题 HOT 2
- Sample input size accepted by the model HOT 3
- 关于集成对抗训练模型的一些问题
- The dataset HOT 1
- About readme HOT 1
- About DataLoader HOT 1
- Missing model HOT 2
- Nice work!
- 转换后的模型
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