Wyatt Sweat

Wyatt Sweat is a Ph.D. student in the Department of Computer Science.  He is advised by Danfeng (Daphne) Yao.

Sweat’s research is focused on improving the detection and the explainability of cybersecurity threats.

 

 

Ph.D Student
Research Areas:
  • AI Magazine
  • iconProbabilistic Graphical Models
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