Exactly Optimal and Communication-Efficient Private Estimation via Block Designs-Reference-Cited by-同舟云学术

Exactly Optimal and Communication-Efficient Private Estimation via Block Designs

Published:2024 Issue: Volume:5 Page:123-134
ISSN:2641-8770
Container-title:IEEE Journal on Selected Areas in Information Theory
language:
Short-container-title:IEEE J. Sel. Areas Inf. Theory

Author:

Park Hyun-Young¹^ORCID,Nam Seung-Hyun¹^ORCID,Lee Si-Hyeon¹^ORCID

Affiliation:

1. School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea

Funder

National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (MSIT), South Korea

MSIT, South Korea, through the Information Technology Research Center (ITRC) Support Program supervised by the Institute of Information and Communications Technology Planning and Evaluation

IITP Grant funded by the Korea Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8700143/10461668/10480680.pdf?arnumber=10480680

Reference40 articles.

1. Block Design-Based Local Differential Privacy Mechanisms

2. How to break anonymity of the Netflix prize dataset;Narayanan;arXiv:cs/0610105,2007

3. Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures

4. Membership Inference Attacks Against Machine Learning Models

5. Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting

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