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
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What’s Real and What’s Not? Watermarking to Identify AI-Generated Text
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Enhancing Multitasking Efficiency: The Role of Muscle Stimulation in Reducing Mental Workload
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Unlocking the Future of AI: How CacheGen is Revolutionizing Large Language Models
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UChicago Partners With UMass On NSF Expedition To Elevate Computational Decarbonization As A New Field In Computing
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Assistant Professor Raul Castro Fernandez Awarded NSF CAREER Grant to investigate Data-sharing Markets
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Empowering Middle School Girls in Tech: compileHER’s <prompt/HER> Capstone Event
![](http://cs-www.uchicago.edu/wp-content/uploads/2024/05/Haifeng-768x768-1-305x201.jpeg)
Haifeng Xu Wins Best Paper Award at Leading AI Conference for Pioneering Research on Mechanism Design for LLMs
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