Combining randomized smoothing with existing classifier/model #1400
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DmitriiGudin
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Hi @DmitriiGudin I think it's an interesting project. You would have to create a similar estimator as for example |
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Hello friends,
I am working on a course project in which I am trying to combine the XGBoost classifier (trained, for instance, on the MNIST data) with randomized smoothing to achieve provable certifiable robustness. I am new to ART and am having trouble figuring out the syntax.
I have a base trained classifier clf obtained as follows:
Now, I tried using the RandomizedSmoothingMixin wrapper from art.estimators.certification.randomized_smoothing to combine it either with the classifier clf, or the base model model, from the function above - but could not figure out how to do it. Reading this page still left me confused.
Any tips are appreciated. Thanks!
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