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Published 20 hours ago • verified publisher icon bethgelab

Top-k misclassification on ImageNet

Open ines21 opened this issue 3 years ago • 3 comments

Running an untargeted attack on an ImageNet classifier results in a church being classified as a monastery instead. Do you maybe have a suggestion or a workaround to introduce top-k misclassification?

ines21 avatar Mar 24 '21 09:03 ines21

We did support top-k misclassification in Foolbox 1 and 2: https://github.com/bethgelab/foolbox/blob/v2.4.0/foolbox/criteria.py#L209 It has not yet been ported to Foolbox 3. Adding the criterion should be easy, making sure it works with certain attacks probably requires some more testing.

jonasrauber avatar Mar 24 '21 11:03 jonasrauber

@jonasrauber thanks for the hint! I am mainly running experiments with C&W. Do you have any insights regarding this? Otherwise I will report again whether it worked.

ines21 avatar Mar 24 '21 13:03 ines21

@ines21 Is there an update from your side?

zimmerrol avatar Jan 27 '22 13:01 zimmerrol