Machine Learning to Enable Side-Channel Analysis and Generative Modeling in Electronic Design Automation.

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dc.contributor.advisorPaul Franzon, Co-Chair
dc.contributor.advisorAydin Aysu, Co-Chair
dc.contributor.advisorFranc Brglez, Member
dc.contributor.advisorTianfu Wu, Member
dc.contributor.authorKashyap, Priyank
dc.date.accepted2023-06-08
dc.date.accessioned2023-06-09T12:30:33Z
dc.date.available2023-06-09T12:30:33Z
dc.date.defense2023-05-05
dc.date.issued2023-05-05
dc.date.released2023-06-09
dc.date.reviewed2023-05-19
dc.date.submitted2023-05-12
dc.degree.disciplineComputer Engineering
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg33698
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/41004
dc.titleMachine Learning to Enable Side-Channel Analysis and Generative Modeling in Electronic Design Automation.

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