A Privacy-Preserving Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition-Reference-Cited by-同舟云学术

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A Privacy-Preserving Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition

Published:2020-01-14 Issue: Volume:13 Page:
ISSN:1662-5218
Container-title:Frontiers in Neurorobotics
language:
Short-container-title:Front. Neurorobot.

Author:

Zhang Chen,Hu Xiongwei,Xie Yu,Gong Maoguo,Yu Bin

Publisher

Frontiers Media SA

Subject

Artificial Intelligence,Biomedical Engineering

Reference44 articles.

1. “Deep learning with differential privacy,”;Abadi,2016

2. Real-time head pose estimation using multi-task deep neural network;Ahn;Robot. Auton. Syst.,2018

3. “Composable and versatile privacy via truncated CDP,”;Bun,2018

4. Differentially private empirical risk minimization;Chaudhuri;J. Mach. Learn. Res.,2011

5. A near-optimal algorithm for differentially-private principal components;Chaudhuri;J. Mach. Learn. Res.,2013

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