A three-party framework that customizes binarized neural networks with distillation and separable convolutions to speed up privacy-preserving inference.
In: Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security
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CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference
A three-party framework that customizes binarized neural networks with distillation and separable convolutions to speed up privacy-preserving inference.