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. 1712.01665
  4. Cited By
Differentially Private Dropout

Differentially Private Dropout

30 November 2017
B. Ermiş
A. Cemgil
    SyDa
ArXivPDFHTML

Papers citing "Differentially Private Dropout"

4 / 4 papers shown
Title
On the utility and protection of optimization with differential privacy
  and classic regularization techniques
On the utility and protection of optimization with differential privacy and classic regularization techniques
Eugenio Lomurno
Matteo matteucci
18
9
0
07 Sep 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
To Drop or Not to Drop: Robustness, Consistency and Differential Privacy
  Properties of Dropout
To Drop or Not to Drop: Robustness, Consistency and Differential Privacy Properties of Dropout
Prateek Jain
Vivek Kulkarni
Abhradeep Thakurta
Oliver Williams
44
30
0
06 Mar 2015
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,636
0
03 Jul 2012
1