2026-09-19T00:36:13Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1298832026-06-06T00:55:14Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Vinod Vaikuntanathan.
De Castro, Leo(Leo Ramón Nathan)
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2021-02-19T20:37:39Z
2021-02-19T20:37:39Z
2020
2020
https://hdl.handle.net/1721.1/129883
1237358113
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February, 2020
Cataloged from student-submitted PDF of thesis.
Includes bibliographical references (pages 67-69).
Homomorphic encryption is an exciting technology that enables computations to be performed over encrypted data. While initial constructions were impractical, recent works have enabled eciency necessary for many practical application. In this thesis, we present a new library for homomorphic encryption and two of applications built on this library. The first application is a fast oblivious linear evaluation protocol, a fundamental building block for secure computation. The second is a secure data aggregation platform used to study cyber risk.
by Leo de Castro.
M.Eng.
M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
69 pages ;
eng
Massachusetts Institute of Technology
MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Practical homomorphic encryption implementations & applications
Practical homomorphic encryption implementations and applications
Thesis
application/pdf
2021-02-19T20:37:08Z
Publication
Master
EECS
unknown
unknown
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