Private Linear Transformation: The Individual Privacy Case

Esmati, Nahid; Heidarzadeh, Anoosheh; Sprintson, Alex

doi:10.1109/ISIT45174.2021.9517762

skip to main content

An official website of the United States government Here's how you know

Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Attention:

The NSF Public Access Repository (PAR) system and access will be unavailable from 5:00 PM ET until 8:00 PM ET on Friday, September 11 due to maintenance. We apologize for the inconvenience.

Citation Details

Private Linear Transformation: The Individual Privacy Case

Award ID(s):: 1718658

PAR ID:: 10313403

Author(s) / Creator(s):: Esmati, Nahid; Heidarzadeh, Anoosheh; Sprintson, Alex

Date Published:: 2021-07-12

Journal Name:: 2021 IEEE International Symposium on Information Theory (ISIT)

Format(s):: Medium: X

Sponsoring Org:: National Science Foundation

Free Publicly Accessible Full Text
Accepted Manuscript
Conference Paper:
https://doi.org/10.1109/ISIT45174.2021.9517762

More Like this