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Filtering by: Creator Fridley, Daniel Seth Remove constraint Creator: Fridley, Daniel Seth Decade 2020-2029 Remove constraint Decade: 2020-2029 Degree Field Computer Science Remove constraint Degree Field: Computer Science

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The InclusiveMag Method: A Start Towards More Inclusive Software for Diverse Populations

Creator:

Mendez, Christopher

Abstract:

How can software practitioners assess whether their software supports diverse users? Although there are empirical processes that can be used to find “inclusivity bugs” piecemeal, what is often needed is a systematic inspection method to assess software’s support for diverse populations. To help fill this gap, this thesis introduces InclusiveMag,...

Resource Type:

Masters Thesis
Communication efficient private set and database operations

Creator:

Garimella, Gayathri Annapurna

Abstract:

Secure Computation is a powerful tool that enables a set of parties to jointly compute any function over their private inputs, without a trusted third party. Private Set Intersection is a specific case of two-party Secure Computation, where Alice (with private set X) and Bob (with private set Y) specifically...

Resource Type:

Dissertation
Efficient Private Matching for Private Databases

Creator:

Trieu, Thi Ni Ni

Abstract:

Private matching (PM) is a key cryptographic primitive in secure computation that allows several parties to jointly compute some functions depending on their private inputs. Indeed, this primitive has many practical applications. For instance, in online advertising, two companies may wish to find their common customers for a joint marketing...

Resource Type:

Dissertation

Full Text:

, Daniel Demm- ler, Vladimir Kolesnikov, Ranjit Kumaresan, Naor Matania, Benny Pinkas, Peter Rindal
Machine Learning for Precision Medicine: Application to Cancer Chemotherapy Response Prediction and Wound Healing Status Assessment

Creator:

Wei, Qi

Abstract:

Ph.D. candidate Qi Wei's thesis consists of two projects: Chemotherapy Project: a study based on the research paper "Predicting chemotherapy response of various cancer types using a variational auto-encoder approach" submitted to the bioRxiv preprint archive and accepted by the BMC bioinformatics; and Wound Monitor Project: implementing and assessing analytics...

Resource Type:

Dissertation

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Academic Affiliation

Electrical Engineering and Computer Science4

Advisor

Rosulek, Mike2
Burnett, Margaret M.1
Ramsey, Stephen A.1

Commencement Year

Commencement Year range begin – Commencement Year range end

Current results range from 2020 to 2023

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Committee Member

Bobba, Rakesh2
Borradaile, Glencora2
Bailey, Mike1
Johnston, Matthew1
Kolesnikov, Vladimir1
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Creator

Garimella, Gayathri Annapurna1
Mendez, Christopher1
Trieu, Thi Ni Ni1
Wei, Qi1

Date

Date range begin – Date range end

Current results range from 2020 to 2023

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Decade

2020-2029[remove]4

Degree Field

Computer Science[remove]4

Degree Level

Doctoral3
Master's1

Degree Name

Doctor of Philosophy (Ph.D.)3
Master of Science (M.S.)1

Language

English [eng]4

License

All rights reserved3
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)1

Peer Reviewed

No4

Resource Type

Dissertation3
Masters Thesis1

Rights Statement

In Copyright3
In Copyright - Non-Commercial Use Permitted1

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