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Lujo Bauer

  • Professor, Electrical & Computer Engineering and of Computer Science, Carnegie Mellon University

Lujo Bauer is a Professor of Electrical and Computer Engineering, and of Computer Science, 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 is a member of CyLab, Carnegie Mellon's computer security and privacy institute, and serves as the director of CyLab's Cyber Autonomy Research Center.

Dr. Bauer's research examines many aspects of computer security and privacy, including developing high-assurance access-control systems, building systems in which usability and security co-exist, and designing practical tools for identifying software vulnerabilities. His recent work focuses on developing tools and guidance to help users stay safer online and on examining how advances in machine learning can (or might not) 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 Privacy and Security.

Representative Publications

  1. Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer, and Michael K. Reiter. A general framework for adversarial examples with objectives. ACM Transactions on Privacy and Security, 22(3), June 2019. DOI:10.1145/3317611
  2. Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer, and Michael K. Reiter. Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition. In Proceedings of the 23rd ACM SIGSAC Conference on Computer and Communications Security, October 2016.  DOI:10.1145/2976749.2978392
  3. Mahmood Sharif, Lujo Bauer, and Michael K. Reiter. On the suitability of Lp-norms for creating and preventing adversarial examples. In Proceedings of The Bright and Dark Sides of Computer Vision Workshop (with CVPR), June 2018

Research Interests

  • Adversarial machine learning
  • Internet-of-Things security and privacy
  • Passwords and authentication
  • Usable security and privacy
  • Web security

Research Grants

Government: NSF, ARL, ONR, DARPA, NATO, NIST

Industry: Google, Cisco, Mitsubishi, LGE, PNC, KDDI