Bo Luo
University of Kansas, KS·Computer Science
Generative artificial intelligence (AI), systems that create text, images, and other content, is spreading fast, and it cuts both ways for security and privacy. These systems can violate the property and privacy rights of people whose data trained them.
- Fields
Computer Science
- Topics
generative AI
artificial intelligence
cybersecurity
- Grants
- 1 known grant, last ended Sep 2026
What they work on
- Define the key scientific questions on how generative AI threatens and could strengthen security and privacy, such as privacy harms from training data and synthetic data for attack detection.
- Identify stakeholders in the scientific and social-impact realms through interviews, workshops, and community-building meetups to shape a large-scale research proposal.
- Assemble the team, partnerships, external advisory board, and evaluation team needed for a full-scale proposal on generative AI and cybersecurity.
More about the research
They can also produce convincing content that tricks people into harmful mistakes. On the other hand, generative AI might create synthetic data that helps defenders detect and predict new attacks faster. That could lead to safer software, policies, and security practices.
Why it matters
As generative AI spreads, people face risks from privacy violations and AI-generated deception, while security teams could gain new tools such as synthetic attack data. This planning effort lays groundwork for research that could help protect the public's data and beliefs and support safer software and security practices.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Angel Hsu
University of North Carolina at Chapel Hill, NC·Earth & Environmental Science
Systematically test generative AI models, such as chatbots, to find out how accurately they report information about private-sector climate commitments.
Guang Wang
Florida State University, FL·Computer Science
Build cross-domain data curation tools for MobilityNet that combine real mobility datasets from different sources to reduce data bias.
Aditya Johri
George Mason University, VA·Education Research
Create four role-play case studies on AI-enabled security technologies, such as video surveillance, smart home privacy, and algorithmic hiring, and embed them across undergraduate and graduate cybersecurity courses.
The school
University of Kansas: 26 labs on PI Pages, $546M a year on research, 351 research doctorates a year.
Reach out
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