CyLab Seminar

  • Remote Access Enabled - Zoom
  • Virtual Presentation
  • Associate Professor, and Director of Graduate Programs
  • Computer Science Department
  • University of Texas at El Paso

Challenges and Opportunities in AI for Cyber Security and Cyber Deception

The rapid advancement of artificial intelligence methods is having a profound impact on cybersecurity, and we can expect this trend to continue. The ability to process massive amounts of data to identify patterns and trends, and to make very complex automated decisions faster than any human can respond is becoming key to both attack and defense tactics.  However, these artificial intelligence systems also open up new attack surfaces and vulnerabilities, as demonstrated by recent work on adversarial machine learning. I will overview some of the challenges and opportunities posed by the intersection of AI and cybersecurity, and discuss some of our own recent work applying artificial intelligence to advance the science of cyber deception.

Christopher Kiekintveld is an associate professor at the University of Texas at El Paso (UTEP). His research is in the area of intelligent systems, focusing on multi-agent systems and computational decision making. He is also interested in applications of artificial intelligence to security, trading agents, and other areas with the potential to benefit society. He received his Ph.D in 2008 from the University of Michigan for thesis work on strategic reasoning, including applications in designing a champion trading agent for the TAC SCM competition. He has worked on several deployed applications of game theory for security, including systems in use by the Federal Air Marshals Service and Transportation Security Administration. He has authored more than 80 papers in peer-reviewed conferences and journals (e.g., AAMAS, IJCAI, AAAI, JAIR, JAAMAS, ECRA). He has received several best paper awards, the David Rist Prize, and an NSF CAREER award.

Faculty Host: Fei Fang


Zoom Participation. See announcement.

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