Secure Vision (Position Filled)

The goal of this project is to use secure multi party computation in computer vision. By leveraging many different cameras, the project will study neural networks that can solve many computer vision tasks while also maintaining privacy. 

Lab: Computer Vision Lab 

Direct Supervisor: Carl Vondrick

Position Dates: Summer 2022

Hours per Week: 20

Number of positions: 1

Position type: Hybrid (both remote and on-site)

Qualifications: Computer Vision, Cryptography 

Eligibility: Junior, Senior, Master's

SEAS students only: Yes

Carl Vondrick, [email protected]