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2103.01396
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DeepReDuce: ReLU Reduction for Fast Private Inference

v1v2 (latest)

DeepReDuce: ReLU Reduction for Fast Private Inference

International Conference on Machine Learning (ICML), 2021

2 March 2021

ArXiv (abs)PDF HTML

Papers citing "DeepReDuce: ReLU Reduction for Fast Private Inference"

4 / 54 papers shown

Sisyphus: A Cautionary Tale of Using Low-Degree Polynomial Activations
in Privacy-Preserving Deep Learning

Sisyphus: A Cautionary Tale of Using Low-Degree Polynomial Activations in Privacy-Preserving Deep Learning

Karthik Garimella

160

24

0

26 Jul 2021

Sphynx: ReLU-Efficient Network Design for Private Inference

Sphynx: ReLU-Efficient Network Design for Private InferenceIEEE Security and Privacy (IEEE S&P), 2021

150

29

0

17 Jun 2021

Layer Folding: Neural Network Depth Reduction using Activation
Linearization

Layer Folding: Neural Network Depth Reduction using Activation Linearization

187

23

0

17 Jun 2021

Circa: Stochastic ReLUs for Private Deep Learning

Circa: Stochastic ReLUs for Private Deep Learning

137

38

0

15 Jun 2021