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Secure Evaluation of Quantized Neural Networks
2020
Proceedings on Privacy Enhancing Technologies
AbstractWe investigate two questions in this paper: First, we ask to what extent "MPC friendly" models are already supported by major Machine Learning frameworks such as TensorFlow or PyTorch. Prior works provide protocols that only work on fixed-point integers and specialized activation functions, two aspects that are not supported by popular Machine Learning frameworks, and the need for these specialized model representations means that it is hard, and often impossible, to use e.g.,
doi:10.2478/popets-2020-0077
fatcat:ped3x4xxebby5fg5pua2wkn754