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Differential Privacy, Property Testing, and Perturbations
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Differential Privacy, Property Testing, and Perturbations. |
| 개인저자 | McMillan, Audra. |
| 단체저자명 | University of Michigan. Mathematics. |
| 발행사항 | [S.l.]: University of Michigan., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 110 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-12B(E). Dissertation Abstract International |
| ISBN | 9780438126077 |
| 학위논문주기 | Thesis (Ph.D.)--University of Michigan, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Anna Catherine Gilbert. |
| 요약 | Controlling the dissemination of information about ourselves has become a minefield in the modern age. We release data about ourselves every day and don't always fully understand what information is contained in this data. It is often the case t |
| 요약 | At its heart, this thesis is about the study of information. Many of the results can be formulated as asking a subset of the questions: does the data you have contain enough information to learn what you would like to learn? and how can I affect |
| 요약 | We begin with an information theoretic lower bound for graphon estimation. This explores the fundamental limits of how much information about the underlying population is contained in a finite sample of data. We then move on to exploring the con |
| 일반주제명 | Mathematics. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
