Daniel Lowd, University of Oregon
Associate Professor
Department of Computer and Information Science
Eugene, Oregon
lowd@cs.uoregon.edu
Office:
(541) 346-4154
Expert In
Bio/Research
Daniel Lowd is an academic expert in machine learning and artificial intelligence. At the University of Oregon, he is an associate professor of computer and information science. His specific expertise includes adversarial machine learning. These are problems like spam and fraud detection, where i...
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Bio/Research
Daniel Lowd is an academic expert in machine learning and artificial intelligence. At the University of Oregon, he is an associate professor of computer and information science. His specific expertise includes adversarial machine learning. These are problems like spam and fraud detection, where it's difficult to build good models because people will always be working to trick them. Daniel researches a range of problems in this area, including understanding the vulnerabilities of popular machine learning methods, how an attacker could exploit them, and how we can build models that are more robust and reliable.
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