자료유형 | 학위논문 |
---|---|
서명/저자사항 | Gaussian Differential Privacy and Related Techniques. |
개인저자 | Dong, Jinshuo. |
단체저자명 | University of Pennsylvania. Applied Mathematics and Computational Science. |
발행사항 | [S.l.]: University of Pennsylvania., 2020. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2020. |
형태사항 | 235 p. |
기본자료 저록 | Dissertations Abstracts International 82-05B. Dissertation Abstract International |
ISBN | 9798678165664 |
학위논문주기 | Thesis (Ph.D.)--University of Pennsylvania, 2020. |
일반주기 |
Source: Dissertations Abstracts International, Volume: 82-05, Section: B.
Advisor: Roth, Aaron. |
이용제한사항 | This item must not be sold to any third party vendors.This item must not be sold to any third party vendors.This item must not be sold to any third party vendors. |
일반주제명 | Computer science. Mathematics. Statistics. |
언어 | 영어 |
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