자료유형  

 학위논문

Control Number  

0017162891

International Standard Book Number  

9798384210405

Dewey Decimal Classification Number  

323.44

Main Entry-Personal Name  

Xiao, Yingtai.

Publication, Distribution, etc. (Imprint  

[S.l.] : The Pennsylvania State University., 2024

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2024

Physical Description  

229 p.

General Note  

Source: Dissertations Abstracts International, Volume: 86-03, Section: A.

General Note  

Advisor: Kifer, Daniel.

Dissertation Note  

Thesis (Ph.D.)--The Pennsylvania State University, 2024.

Summary, Etc.  

요약Differential Privacy (DP) has become the standard for protecting confidentiality in publicly available data. One crucial use of DP is in differentially private linear queries, which play a fundamental role in various fields including database searches, creating synthetic data, sharing statistics, and deep learning. To optimize the performance of differentially private linear queries with Gaussian noise-referred to as linear Gaussian Mechanisms, we first introduce ResidualPlanner, a scalable matrix mechanism for generating noisy marginals with Gaussian noise. It optimizes for multiple loss functions, facilitating efficient computation of marginal variances even in large-scale settings and advancing differentially private data release mechanisms' capabilities. Secondly, we propose Common Mechanism to allocate privacy budgets optimally between competing mechanisms. By dissecting mechanisms into shared and mechanism-specific components, it aids analysts in selecting mechanisms without compromising privacy budgets. Lastly, we present SM-II, which enhances accuracy in differentially private data releases by controlling accuracy at the per-query level. It employs privacy-preserving Gaussian noise with an optimized covariance structure to meet accuracy requirements for each query efficiently.

Subject Added Entry-Topical Term  

Censuses.

Subject Added Entry-Topical Term  

Design.

Subject Added Entry-Topical Term  

Privacy.

Added Entry-Corporate Name  

The Pennsylvania State University.

Host Item Entry  

Dissertations Abstracts International. 86-03A.

Electronic Location and Access  

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Control Number  

joongbu:658142