Lujo Bauer
Professor, Electrical and Computer Engineering, Software and Societal Systems Department
Lujo Bauer is a professor in the Electrical and Computer Engineering Department and in the Software and Societal Systems Department at Carnegie Mellon University. He received his B.S. in Computer Science from Yale University in 1997 and his Ph.D. in Computer Science from Princeton University in 2003.
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.
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.
Helping Users Manage Online Data
On the Future of AI
Education
2003 Ph.D., Computer Science, Princeton University
1999 MA, Computer Science, Princeton University
1997 BS, Computer Science, Yale University
Affiliations
Research Interests
- access control and authorization
- AI and ML for security
- Applications of security and privacy
- authentication and passwords
- autonomy
- cyberphysical systems (CPS)
- cybersecurity + privacy
- data security and privacy
- data/network science systems
- emerging applications security
- Formal methods
- formal methods for security
- Internet of Things (IoT)
- IoT security and privacy
- language-based security
- ML and AI
- mobile and app security and privacy
- network security
- privacy
- secure systems
- security of AI and ML
- smart infrastructure
- social networks security and privacy
- software security
- systems security
- Usability and human behavior
- usable privacy and security
- usable security
- web security
Media mentions
CyLab Security and Privacy Institute
Energy and Innovation
Advances in AI mean increasingly sophisticated cybersecurity threats. CMU is well positioned to meet these challenges with innovative solutions spun out of the CyLab Security and Privacy Institute, which coordinates cybersecurity research and education across all university departments.
CyLab Security and Privacy Institute
CyLab to host Robotics Security and Privacy Workshop July 28-29
On July 28-29, CyLab will host a Robotics Security and Privacy Workshop on the Carnegie Mellon University campus, convening leading researchers and experts from across academia and industry to discuss strategic approaches to building trusted middleware and toolchains to foster a secure, privacy-preserving robotics ecosystem that is safe and trustworthy by design.
CyLab Security and Privacy Institute
CyLab researchers present at ACM CHI 2025
CyLab Security and Privacy Institute researchers will present nine papers and teach one course at the Association for Computing Machinery (ACM) Conference on Human Factors in Computing Systems (CHI 2025).
CyLab Security and Privacy Institute
CyLab faculty, students to present at NDSS Symposium 2025
Carnegie Mellon faculty and students will present on a wide range of topics at the 32nd Annual Network and Distributed System Security (NDSS) Symposium. Held at Wyndham San Diego Bayside from February 24th through the 28th, the event fosters information exchange among researchers and practitioners of network and distributed system security.
CyLab Security and Privacy Institute
CyLab awards 2025 seed funding
This year, CyLab has awarded more than $400K in seed funding to 16 CMU students, faculty, and staff members from five departments at the university.
CyLab Security and Privacy Institute
Applications open for CMU Ph.D. programs in cybersecurity and privacy
Carnegie Mellon University offers several Ph.D. programs that attract students interested in pursuing research careers in security and privacy.
CyLab Security and Privacy Institute
Bryan Parno honored with the IEEE Cybersecurity Award for Practice
Bryan Parno, Kavčić-Moura Professor of Electrical and Computer Engineering and Professor of Computer Science, has received the Institute of Electrical and Electronics Engineers (IEEE) Cybersecurity Award for Practice for his contributions to the theory and practice of end-to-end secure systems.
CyLab Security and Privacy Institute
NIST awards $6M to Carnegie Mellon University to establish AI Cooperative Research Center
U.S. Secretary of Commerce Gina Raimondo announced Sept. 24 that the Department of Commerce’s National Institute of Standards and Technology (NIST) has awarded $6 million to Carnegie Mellon University to establish a joint center to support cooperative research and experimentation for the test and evaluation of modern AI capabilities and tools.
CyLab Security and Privacy Institute
CyLab faculty, students present research at the 33rd USENIX Security Symposium
Carnegie Mellon faculty and students presented on a wide range of topics at the 33rd USENIX Security Symposium. Held in Philadelphia on August 14-16, the event brought together experts from around the world, who highlighted the latest advances in the security and privacy of computer systems and networks.
CyLab Security and Privacy Institute
CyLab researchers present at ACM CHI 2024
CyLab Security and Privacy Institute researchers presented 10 papers and participated in one special interest group at the Association for Computing Machinery (ACM) Conference on Human Factors in Computing Systems (CHI 2024).
CyLab Security and Privacy Institute
CyLab faculty, students to present at NDSS Symposium 2024
Carnegie Mellon faculty and students will present on a wide range of topics at the 31st Annual Network and Distributed System Security (NDSS) Symposium. Held at the Catamaran Resort Hotel & Spa in San Diego from February 26 through March 1, the event fosters information exchange among researchers and practitioners of network and distributed system security.
CyLab Security and Privacy Institute
Researchers develop adversarial training methods to improve machine learning-based malware detection software
Professor Lujo Bauer and a team of researchers investigate the effectiveness of using adversarial training methods to create malware detection models that are more robust to some of the state-of-the-art attacks.