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
SUPER (Security, Usability, & Privacy Education & Research) Group
Network Operations and Internet Security (NOISE) Lab
Amyoli Internet Research (AIR) Lab
Related Faculty
News & Events

UChicago Alum John Paparrizos Honored with SIGMOD Test-of-Time Award for Advancing Time Series Analytics

University of Chicago Researchers Earn Top Honor for Adaptive Software Breakthrough

Finding the “Goldilocks” Solution to a Classic Math Problem: A Breakthrough in Numerical Integration

Moderation at the Crossroads: How Generative AI Platforms Manage Creativity and Content Safety

Can a Doctor’s Notes Reveal When They’re Tired? New Research Illuminates the Hidden Signals of Physician Fatigue—And Raises Questions About AI in Healthcare

2025 Midwest Machine Learning Symposium Demonstrates Regional Excellence

PhD Candidate Bogdan Stoica Receives Distinguished Artifact Evaluator Award for Championing Reproducibility in Computer Science
