zbh2047/SortNet

[NeurIPS 2022] A novel 1-Lipschitz network that can be efficiently trained to achieve certified L-infinity robustness for free!

CudaPythonC++Shell
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SortNet Introduction This is the official repo for training SortNet, a novel 1-Lipschitz neural network with theoretical guarantees for its robustness and expressive power. SortNet generalizes L-infinity distance net and can be efficiently trained to achieve certified L-infinity robustness for free! Our paper has been accepted for NeurIPS 2022 (Oral!). Dependencies Pytorch 1.10.0 (or a later version) Tensorboard (optional) Getting Started with the Code This organization of this repo is the same as...
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