yizeng623 / i-bau Goto Github PK

Hi, zeng @YiZeng623 .

Thanks for the great work and the open-sourced implementation from your team. It is very nice that you guys offered the jupyter interactive way for running the code. User friendly and easy to get the results.

But there is still one thing puzzled me. This repo does not have the ResNet implementation. I noticed the almost all of the main experiments were conducted on VGG architecture but both the appendix from your paper and the rebuttal from the openreview did mention the experiments on ResNet models. Do you have the plan to opensource the ResNet experiment code?

Really appreciate to hear from you.

Best,
Terry

Hi,
I've used a modified version of your code. The modification is supposed to be just some refactors (assuming I've made no mistakes).
I ran it on MNIST and a simple network, and it worked. But when I tried to use it on Cifar10 with Resnet18_comp I got the following error (line 61 of hypergrad.py):

One of the differentiated Tensors appears to not have been used in the graph. Set allow_unused=True if this is the desired behavior.

Do you know what the reason might be?

Dear authors,

Thanks for releasing the codes! Could you please provide instructions on how to run the codes to reproduce the results? For example, what is the command to defense the BadNet attack on CIFAR10?

Thanks in advance.