Every new technological advancement brings with it risks of abuse and vulnerabilities to attack by malicious entities, often spawning opportunities for exploitation and criminal activity. Computer scientists work tirelessly to anticipate emerging threats and build new protections against them, before malicious agents can take advantage. New tools protect both individual users and entire computing systems from attack and leaks of private information, enabling the benefits of these innovations to thrive without unintended consequences.

UChicago CS researchers address these hazards with a broad spectrum of approaches, including cryptography, machine learning, user-centered design, and data science. They’re building cutting-edge protections against security flaws in the latest technologies, such as Internet of Things devices, quantum computers, and machine learning models and systems. They’re designing new privacy mechanisms that raise users’ awareness of how their data is collected online and in the physical world and how they can best protect themselves against invasive technology. They’re also developing new technologies to improve users’ safety and security online, including technologies for improving digital literacy and combating online censorship.

Labs & Groups

SAND (Security, Algorithms, Networking and Data) Lab

Ben Y. Zhao, Heather Zheng
SAND Lab spans research topics in security, machine learning, networked systems, HCI, data mining and modeling.

SUPER (Security, Usability, & Privacy Education & Research) Group

Blase Ur
Focused on data-driven methods to improve online security and privacy and improving interaction for IoT and machine learning systems.

Network Operations and Internet Security (NOISE) Lab

Nick Feamster
Develops data-driven systems that derive insights from network traffic and explores how network traffic can reveal insights into human behavior.

Amyoli Internet Research (AIR) Lab

Marshini Chetty
Working to make the Internet more trustworthy and inclusive, drawing on human-computer interaction, usable privacy and security, ubiquitous computing, and...

Related Faculty

David Cash

David Cash

Professor of Computer Science
Marshini Chetty

Marshini Chetty

Associate Professor of Computer Science
Fred Chong

Fred Chong

Seymour Goodman Professor of Computer Science
Aloni Cohen

Aloni Cohen

Assistant Professor of Computer Science, Data Science
Nick Feamster

Nick Feamster

Neubauer Professor of Computer Science
Grant Ho

Grant Ho

Assistant Professor of Computer Science
Blase Ur

Blase Ur

Associate Professor of Computer Science
Ben Y. Zhao

Ben Y. Zhao

Neubauer Professor of Computer Science
Heather Zheng

Heather Zheng

Neubauer Professor of Computer Science

News & Events

Netflix logo on phone screen
UChicago CS News

The Hidden Cost of Netflix’s Autoplay: A Study on Viewing Patterns and User Control

Feb 25, 2025
Raul Castro Fernandez
UChicago CS News

Raul Castro Fernandez among six UChicago scientists awarded prestigious Sloan Fellowships in 2025

Feb 18, 2025
UChicago CS News

Quantum Leap: New Research Reveals Secrets of Random Quantum Circuits

Feb 04, 2025
UChicago CS News

Fred Chong from the Department of Computer Science Named ACM Fellow for Contributions to Quantum Computing

Jan 22, 2025
UChicago CS News

Rethinking AI as a Thought Partner: Perspectives on Writing, Programming, and More

Jan 16, 2025
UChicago CS News

UChicago Partners On New National Science Foundation Large-Scale Research Infrastructure For Education

Dec 10, 2024
UChicago CS News

Saturdays with CSIL — How Undergraduates are Transforming CS Education for Local High School Students

Dec 05, 2024
UChicago CS News

UChicago Researchers Receive Google Privacy Faculty Award for Research on AI Privacy Risks

Nov 22, 2024
UChicago CS News

The Climate App Designed to Tackle Chatham’s Flooding Crisis

Nov 21, 2024
In the News

Globus Receives Multiple Honors in 2024 HPCwire Readers’ and Editors’ Choice Awards

Nov 20, 2024
In the News

Argonne Team Breaks New Ground in AI-Driven Protein Design

Nov 15, 2024
UChicago CS News

DOE Awards Fred Chong and his National Research Team $7.5M to Develop a SMART Software Stack to Control Quantum Computer Noise

Nov 12, 2024
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