Jack W. Davidson, Professor of Computer Science in the School of Engineering and Applied Science, University of Virginia

For the past twenty years, our research has been driven by the need to analyze, understand, and transform software without access to source code. Through a series of research programs, including DARPA’s Self-Regenerative Systems (SRS), AFOSR’s Enterprise Health: Self-Regenerative Incorruptible Enterprise program, IARPA’s Securely Taking on New Executable Software of Uncertain Provenance (STONESOUP) program, DARPA’s Cyber Grand Challenge (CGC), and DARPA’s Cyber Fault-Tolerant Attack and Recovery program (CFAR), and others, we have developed novel techniques to analyze and transform binaries. This talk will retrospectively examine these efforts and our key contributions in binary analysis and rewriting, from early vulnerability discovery techniques to advanced automated program transformations. We will also discuss current binary analysis research areas, speculate on where binary analysis research is heading, and why it continues to be an important, well-funded and impactful research area.

Speaker's Biography: Jack W. Davidson is a Professor of Computer Science in the School of Engineering and Applied Science at the University of Virginia. Professor Davidson is a Fellow of the ACM and a Life Fellow of the IEEE. He served as an Associate Editor of ACM’s Transactions on Programming Languages and Systems for six years, and as an Associate Editor of ACM’s Transactions on Architecture and Compiler Optimizations for eight years. He served as Chair of ACM’s Special Interest Group on Programming Languages (SIGPLAN) from 2005 to 2007. He currently serves on the ACM Executive Council and is chair of ACM’s Digital Library Board that oversees the operation and development of ACM’s Digital Library.

View More Papers

Compiled Models, Built-In Exploits: Uncovering Pervasive Bit-Flip Attack Surfaces...

Yanzuo Chen (The Hong Kong University of Science and Technology), Zhibo Liu (The Hong Kong University of Science and Technology), Yuanyuan Yuan (The Hong Kong University of Science and Technology), Sihang Hu (Huawei Technologies), Tianxiang Li (Huawei Technologies), Shuai Wang (The Hong Kong University of Science and Technology)

Read More

Finding 1-Day Vulnerabilities in Trusted Applications using Selective Symbolic...

Marcel Busch (Friedrich-Alexander-Universität Erlangen-Nürnberg), Kalle Dirsch (Friedrich-Alexander-Universität Erlangen-Nürnberg)

Read More

VoiceRadar: Voice Deepfake Detection using Micro-Frequency and Compositional Analysis

Kavita Kumari (Technical University of Darmstadt), Maryam Abbasihafshejani (University of Texas at San Antonio), Alessandro Pegoraro (Technical University of Darmstadt), Phillip Rieger (Technical University of Darmstadt), Kamyar Arshi (Technical University of Darmstadt), Murtuza Jadliwala (University of Texas at San Antonio), Ahmad-Reza Sadeghi (Technical University of Darmstadt)

Read More