Hadisalman / smoothing-adversarial

Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

Home Page:https://arxiv.org/abs/1906.04584

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Do we need to clip our new input into [0,1] after adding noise ?

Alan-Qin opened this issue · comments

Hi @Alan-Qin!

No, no clipping happens after adding noise. Mathematically, the smoothing operation doesn't involve any clipping, and there is no reason why practically this should be done. Hope this answers your question!

Thanks!