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. 2404.04006
  4. Cited By
From Theory to Comprehension: A Comparative Study of Differential
  Privacy and $k$-Anonymity

From Theory to Comprehension: A Comparative Study of Differential Privacy and kkk-Anonymity

5 April 2024
Saskia Nuñez von Voigt
Luise Mehner
Florian Tschorsch
ArXivPDFHTML

Papers citing "From Theory to Comprehension: A Comparative Study of Differential Privacy and $k$-Anonymity"

2 / 2 papers shown
Title
What Are the Chances? Explaining the Epsilon Parameter in Differential
  Privacy
What Are the Chances? Explaining the Epsilon Parameter in Differential Privacy
Priyanka Nanayakkara
Mary Anne Smart
Rachel Cummings
Gabriel Kaptchuk
Elissa M. Redmiles
24
32
0
01 Mar 2023
Differential Privacy: An Estimation Theory-Based Method for Choosing
  Epsilon
Differential Privacy: An Estimation Theory-Based Method for Choosing Epsilon
M. Naldi
G. DÁcquisto
33
40
0
04 Oct 2015
1