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. 2308.11110
  4. Cited By
A novel analysis of utility in privacy pipelines, using Kronecker
  products and quantitative information flow

A novel analysis of utility in privacy pipelines, using Kronecker products and quantitative information flow

22 August 2023
Mário S. Alvim
Natasha Fernandes
Annabelle McIver
Carroll Morgan
Gabriel H. Nunes
ArXivPDFHTML

Papers citing "A novel analysis of utility in privacy pipelines, using Kronecker products and quantitative information flow"

2 / 2 papers shown
Title
Summary Statistic Privacy in Data Sharing
Summary Statistic Privacy in Data Sharing
Zinan Lin
Shuaiqi Wang
Vyas Sekar
Giulia Fanti
22
7
0
03 Mar 2023
Opacus: User-Friendly Differential Privacy Library in PyTorch
Opacus: User-Friendly Differential Privacy Library in PyTorch
Ashkan Yousefpour
I. Shilov
Alexandre Sablayrolles
Davide Testuggine
Karthik Prasad
...
Sayan Gosh
Akash Bharadwaj
Jessica Zhao
Graham Cormode
Ilya Mironov
VLM
144
347
0
25 Sep 2021
1