RobNets
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gmh14
[CVPR 2020] When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
I am new to the field of adversarial attacks. I noticed that the natural accuracies of ResNet18 and ResNet50 in CIFAR10 are 78.38% and 79.15% respectively, which are much lower...
I am new to the field of adversarial attacks. I noticed that the natural accuracies of ResNet18 and ResNet50 in CIFAR10 are 78.38% and 79.15% respectively, which are much lower...
Hi! I appreciate your good work! Since the supernet is not release, is there anyway we can replicate your results on correlations between architecture density and their robustness? It would...
Hi, Congratulations on the work. It seems really interesting. I was hoping to use your SuperNet approach for comparing the robustness of different architectures (paper mentioned that you compared over...
Hi, in your paper, you say "After training the supernet, we randomly sample 1,000 architectures from the supernet and finetune each of them for 3 epochs", how to do this?...
Hello, I want to **collect some networks with defensive properties and different structures**. Can this code achieve this? I'm still working on the train part of the Robnets code.But I...
Hi, @gmh14 , thanks for our implementation, I notice that you re-implement the SVHN dataset in the dataset.py, kindly want to know what is the point of rewriting the dataset...
Excuse me, I want to know the difference between the training time and the memory consumption of the search network process with and without adversarial training? I want to know...
We can use this project with pytorchcount to calculate these parameters? thank you very much!
if it possible to share the RobFree's .pt file with me, i want to do some evalution on it. thanks a lot.
