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Tabula: Efficiently Computing Nonlinear Activation Functions for Secure
  Neural Network Inference
v1v2 (latest)

Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference

5 March 2022
Maximilian Lam
Michael Mitzenmacher
Vijay Janapa Reddi
Gu-Yeon Wei
David Brooks
ArXiv (abs)PDFHTML

Papers citing "Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference"

2 / 2 papers shown
Title
PowerQuant: Automorphism Search for Non-Uniform Quantization
PowerQuant: Automorphism Search for Non-Uniform Quantization
Edouard Yvinec
Arnaud Dapogny
Matthieu Cord
Kévin Bailly
MQ
63
16
0
24 Jan 2023
Scaling up Trustless DNN Inference with Zero-Knowledge Proofs
Scaling up Trustless DNN Inference with Zero-Knowledge Proofs
Daniel Kang
Tatsunori Hashimoto
Ion Stoica
Yi Sun
LRM
56
43
0
17 Oct 2022
1