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008181129s2018 ||| | | | eng d
020 ▼a 9780438126077
035 ▼a (MiAaPQ)AAI10903001
035 ▼a (MiAaPQ)umichrackham:001244
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0491 ▼f DP
0820 ▼a 510
1001 ▼a McMillan, Audra.
24510 ▼a Differential Privacy, Property Testing, and Perturbations.
260 ▼a [S.l.] : ▼b University of Michigan., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 110 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Adviser: Anna Catherine Gilbert.
5021 ▼a Thesis (Ph.D.)--University of Michigan, 2018.
520 ▼a 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
520 ▼a 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
520 ▼a 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
590 ▼a School code: 0127.
650 4 ▼a Mathematics.
690 ▼a 0405
71020 ▼a University of Michigan. ▼b Mathematics.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0127
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000509 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자 ▼b 관리자