| Summary: | 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
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