Event Details

PhD Thesis Proposal - Weizhao Jin

Mon, Oct 21, 2024
2:00 PM - 3:00 PM
Location: DMC 103
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.