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. 1905.10862
  4. Cited By
Automatic Discovery of Privacy-Utility Pareto Fronts

Automatic Discovery of Privacy-Utility Pareto Fronts

26 May 2019
Brendan Avent
Javier I. González
Tom Diethe
Andrei Paleyes
Borja Balle
    FedML
ArXivPDFHTML

Papers citing "Automatic Discovery of Privacy-Utility Pareto Fronts"

5 / 5 papers shown
Title
DPolicy: Managing Privacy Risks Across Multiple Releases with Differential Privacy
DPolicy: Managing Privacy Risks Across Multiple Releases with Differential Privacy
Nicolas Küchler
Alexander Viand
Hidde Lycklama
Anwar Hithnawi
31
0
0
10 May 2025
SA-DPSGD: Differentially Private Stochastic Gradient Descent based on
  Simulated Annealing
SA-DPSGD: Differentially Private Stochastic Gradient Descent based on Simulated Annealing
Jie Fu
Zhili Chen
Xinpeng Ling
37
0
0
14 Nov 2022
On the Importance of Architecture and Feature Selection in
  Differentially Private Machine Learning
On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning
Wenxuan Bao
L. A. Bauer
Vincent Bindschaedler
OOD
34
4
0
13 May 2022
Partial sensitivity analysis in differential privacy
Partial sensitivity analysis in differential privacy
Tamara T. Mueller
Alexander Ziller
Dmitrii Usynin
Moritz Knolle
F. Jungmann
Daniel Rueckert
Georgios Kaissis
50
1
0
22 Sep 2021
Efficient Hyperparameter Optimization for Differentially Private Deep
  Learning
Efficient Hyperparameter Optimization for Differentially Private Deep Learning
Aman Priyanshu
Rakshit Naidu
Fatemehsadat Mireshghallah
Mohammad Malekzadeh
44
5
0
09 Aug 2021
1