Domagoj Babic
I joined Google in April 2013 and I'm currently a Staff Research Scientist, tech lead, and manager. My work focuses on research and development of automated software analysis systems for various security-related applications. Primarily, I want my work to have a positive impact on people's lives. I enjoy building top-notch teams and working with them on solving large-scale real-world important problems, while learning and having fun on the way. I'm particularly excited about big technical challenges and enjoy creating the vision, strategy, and technology for taming those challenges.
Over my career, I've published in the areas of verification, testing, security of complex software systems, automated reasoning, grammar inference, and applied formal methods. Before joining Google, I was a research scientist at UC Berkeley and elsewhere in industry.
I earned my Dipl.Ing. in Electrical Engineering and M.Sc. in Computer Science from the Zagreb University (Faculty of Electrical Engineering and Computing) in 2001 and 2003. I received a Ph.D. in Computer Science in 2008 from the University of British Columbia. I was a recipient of the NSERC PDF Research Fellowship (2010-2012), Microsoft Graduate Research Fellowship (2005-2007), and several awards at international programming competitions (1st place at the 2007 Satisfiability Modulo Theories competition in the bit-vector arithmetic category and 3rd place at the 2005 Satisfiability Testing competition in the satisfiable-crafted instances category).
Over my career, I've published in the areas of verification, testing, security of complex software systems, automated reasoning, grammar inference, and applied formal methods. Before joining Google, I was a research scientist at UC Berkeley and elsewhere in industry.
I earned my Dipl.Ing. in Electrical Engineering and M.Sc. in Computer Science from the Zagreb University (Faculty of Electrical Engineering and Computing) in 2001 and 2003. I received a Ph.D. in Computer Science in 2008 from the University of British Columbia. I was a recipient of the NSERC PDF Research Fellowship (2010-2012), Microsoft Graduate Research Fellowship (2005-2007), and several awards at international programming competitions (1st place at the 2007 Satisfiability Modulo Theories competition in the bit-vector arithmetic category and 3rd place at the 2005 Satisfiability Testing competition in the satisfiable-crafted instances category).
Authored Publications
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FUDGE: Fuzz Driver Generation at Scale
Yaohui Chen
Markus Kusano
Caroline Lemieux
Wei Wang
Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ACM
Preview abstract
At Google we have found tens of thousands of security and robustness bugs by fuzzing C and C++ libraries. To fuzz a library, a fuzzer requires a fuzz driver—which exercises some library code—to which it can pass inputs. Unfortunately, writing fuzz drivers remains a primarily manual exercise, a major hindrance to the widespread adoption of fuzzing. In this paper, we address this major hindrance by introducing the Fudge system for automated fuzz driver generation. Fudge automatically generates fuzz driver candidates for libraries based on existing client code. We have used Fudge to generate thousands of new drivers for a wide variety of libraries. Each generated driver includes a synthesized C/C++ program and a corresponding build script, and is automatically analyzed for quality. Developers have integrated over 200 of these generated drivers into continuous fuzzing services and have committed to address reported security bugs. Further, several of these fuzz drivers have been upstreamed to open source projects and integrated into the OSS-Fuzz fuzzing infrastructure. Running these fuzz drivers has resulted in over 150 bug fixes, including the elimination of numerous exploitable security vulnerabilities.
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