Optimal Binary Differential Privacy via Graphs-Reference-Cited by-同舟云学术

Optimal Binary Differential Privacy via Graphs

Published:2024 Issue: Volume:5 Page:162-174
ISSN:2641-8770
Container-title:IEEE Journal on Selected Areas in Information Theory
language:
Short-container-title:IEEE J. Sel. Areas Inf. Theory

Author:

Torkamani Sahel¹,Ebrahimi Javad B.²^ORCID,Sadeghi Parastoo³^ORCID,D’Oliveira Rafael G. L.⁴^ORCID,Médard Muriel⁵^ORCID

Affiliation:

1. Department of Mathematical Sciences, Sharif University of Technology, Tehran, Iran

2. Department of Mathematical Sciences, Center for Information Systems and Data Science, Institute for Convergence Science and Technology, Sharif University of Technology, Tehran, Iran

3. School of Engineering and Technology, University of New South Wales, Canberra, Australia

4. School of Mathematical and Statistical Sciences, Clemson University, Clemson, SC, USA

5. Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA

Funder

IPM

Australian Research Council Future Fellowship Scheme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8700143/10461668/10497099.pdf?arnumber=10497099

Reference32 articles.

1. Differential Privacy for Binary Functions via Randomized Graph Colorings

2. Calibrating Noise to Sensitivity in Private Data Analysis

3. Differentially Private Data Publishing and Analysis: A Survey

4. The U.S. Census Bureau Adopts Differential Privacy

5. RAPPOR

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