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PhD Thesis Proposal - Weizhao Jin
Mon, Oct 21, 2024 @ 02:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Efficiency in Privacy-Preserving Computation Via Domain Knowledge
Date and Time: 10/21/24 - 2:00p - 3:00p
Location: DMC 103
Committee Members: Srivatsan Ravi, Bhaskar Krishnamachari, Harsha V. Madhyastha, Fred Morstatter
Abstract: In recent years, the importance of privacy has grown significantly due to the increasing reliance on user data for building server-side applications and services. To comply with expanding privacy regulations such as GDPR, service providers have adopted privacy-preserving primitives that maintain computational functionality while ensuring user privacy. However, a key challenge lies in integrating these privacy-preserving techniques, such as homomorphic encryption and multi-party computation, into application protocols in a way that balances the efficiency and feasibility of deployment. My thesis proposal investigates two distinct domains emphasizing privacy-preserving computation variants and proposes practical domain-knowledge-based solutions to address challenges related to overhead and protocol complexity for efficient privacy in machine learning and in networks/IoT.Location: DMC 103
Audiences: Everyone Is Invited
Contact: Felante' Charlemagne
