ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.11224
  4. Cited By
Neural Networks with (Low-Precision) Polynomial Approximations: New
  Insights and Techniques for Accuracy Improvement

Neural Networks with (Low-Precision) Polynomial Approximations: New Insights and Techniques for Accuracy Improvement

17 February 2024
Chi Zhang
Jingjing Fan
Man Ho Au
S. Yiu
ArXivPDFHTML

Papers citing "Neural Networks with (Low-Precision) Polynomial Approximations: New Insights and Techniques for Accuracy Improvement"

3 / 3 papers shown
Title
Training Large Scale Polynomial CNNs for E2E Inference over Homomorphic
  Encryption
Training Large Scale Polynomial CNNs for E2E Inference over Homomorphic Encryption
Moran Baruch
Nir Drucker
Gilad Ezov
Yoav Goldberg
Eyal Kushnir
Jenny Lerner
Omri Soceanu
Itamar Zimerman
36
6
0
26 Apr 2023
Bicoptor: Two-round Secure Three-party Non-linear Computation without
  Preprocessing for Privacy-preserving Machine Learning
Bicoptor: Two-round Secure Three-party Non-linear Computation without Preprocessing for Privacy-preserving Machine Learning
Lijing Zhou
Ziyu Wang
Hongrui Cui
Qingrui Song
Yu Yu
24
10
0
05 Oct 2022
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
253
3,102
0
04 Nov 2016
1