Adversarial Machine Learning: Curiosity, Benefit, or Threat?

Lujo Bauer is an Associate Professor in the Electrical and Computer Engineering Department and in the Institute for Software Research at Carnegie Mellon University. He received his B.S. in Computer Science from Yale University in 1997 and his Ph.D., also in Computer Science, from Princeton University in 2003.

Dr. Bauer's research interests span many areas of computer security and privacy, and include building usable access-control systems with sound theoretical underpinnings, developing languages and systems for run-time enforcement of security policies on programs, and generally narrowing the gap between a formal model and a practical, usable system. His recent work focuses on developing tools and guidance to help users stay safer online and in examining how advances in machine learning can lead to a more secure future.

Dr. Bauer served as the program chair for the flagship computer security conferences of the IEEE (S&P 2015) and the Internet Society (NDSS 2014) and is an associate editor of ACM Transactions on Information and System Security.