Securing Recommender Systems
This research focuses on protecting open systems that use user input (ratings, comments, reviews, etc.) as a means of producing recommendations and how these systems that are based on subjective measures can be protected against malicious attacks designed to manipulate the recommender system output.
Chad Williams
Associate Professor of
Computer Science
My research interests include software engineering, intrusion detection, machine learning, and teaching methodology.