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mzweilin avatar mzweilin commented on August 12, 2024 1

Hi mzweilin, is it possible to use only the defense part, and so without specifying any attacks?

Like with this example:

python3 main.py --dataset_name ImageNet --model_name MobileNet --nb_examples 10 --balance_sampling --detection "FeaturesSqueezing?squeezers=bit_depth_5,median_filter_2_2,non_local_means_color_11_3_4&distance_measure=l1&threshold=1.2128;"

Hi @icofalc , we didn't have that design in mind. However, our code does calculate false positive rate on legitimate examples, if that's what you're looking for.

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icofalc avatar icofalc commented on August 12, 2024

Hi @mzweilin , thanks for your reply,
Yes it could be interesting, how do we have to pass the parameters with our modified image database?
Thanks
@icofalc

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mzweilin avatar mzweilin commented on August 12, 2024

Hi @mzweilin , thanks for your reply,
Yes it could be interesting, how do we have to pass the parameters with our modified image database?
Thanks
@icofalc

I think you can implement a pseudo attack that wouldn't make any change to images, following the more complex attack examples in https://github.com/mzweilin/EvadeML-Zoo/tree/master/attacks . The False Positive Rate should be reliable.

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icofalc avatar icofalc commented on August 12, 2024

Hi @mzweilin , thank you!!
Issue is closed 😊

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