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Privacy in the Era of Big Data Goals

This science team will combine techniques drawn from cryptography, machine learning, software engineering and trustworthy computing to obtain practical, usable and scalable systems that will provide consumers with the level of privacy that they desire.

Trustworthy and Robust AI Team

Lenore Zuck

Lenore Zuck

zuck@uic.edu


University of Illinois at Chicago: Research Professor, Computer Science

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Madhusudan Parthasarathy

madhu@illinois.edu


University of Illinois at Urbana-Champaign: Professor, Computer Science

Buy Phd

Ugo Buy

buy@uic.edu


University of Illinois at Chicago: Associate Professor, Computer Science

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Sanmi Koyejo

sanmi@illinois.edu


University of Illinois at Urbana-Champaign: Assistant Professor, Electrical and Computer Engineering

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Peihan Miao

peihan@uic.edu


University of Illinois at Chicago: Assistant Professor, Computer Science

Ckanich

Chris Kanich

ckanich@uic.edu


University of Illinois at Chicago: Associate Professor, Computer Science

In the News

UIC faculty members earn DPI funding

UIC News

UIC’s Lenore Zuck, research professor of computer science at the College of Engineering, will lead a team of researchers to create a platform that will enforce strict privacy policies in sectors such as health care, and develop tools and methods for making the best tradeoffs between privacy and utility.

“The idea of allowing data privacy to be dynamic — strict in ‘normal’ times and but adaptable and accountable under specific extenuating circumstances — is novel,” Zuck said. “COVID-19 has shown us that privacy, particularly with respect to contact tracing and electronic health records, is of vital importance…