Data dependent randomized smoothing
Randomized smoothing is a recent technique that achieves state-of-art performance in training certifiably robust deep neural networks. While the smoothing family of distributions is often connected to the choice of the norm used for certification, the parameters of these distributions are always set...
| Main Authors: | , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
PMLR
2022
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