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as791 / ZOO_Attack_PyTorch

This repository contains the PyTorch implementation of Zeroth Order Optimization Based Adversarial Black Box Attack (https://arxiv.org/abs/1708.03999)
MIT License
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code for larger network #2

Open yulu0724 opened 3 years ago

yulu0724 commented 3 years ago

Hi, thanks for implementing the ZOO paper in pytorch, it is quite useful. I am wondering if your code can be also used for larger newtork (e.g. Inception-v3). As shown in the paper, there are some tricks for this large network.

Thanks!

as791 commented 3 years ago

Hi, I am glad you find the implementation useful.

Although, the code is not yet fully compatible for larger image size data like ImageNet (I think you want to use inception v3 for dataset like that) as it requires the functionality of importance sampling, hierarchical attack, and dimentional reduction.

I have yet to include them in the code and they will be included soon.

Let me know if any other help needed.

as791 commented 1 year ago

Hi @yulu0724 I have modified the code but not yet tested. Not sure if this will help you. this is google colab link for the same link