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

SCAMMAGNIFIER: Piercing the Veil of Fraudulent Shopping Website Campaigns

Marzieh Bitaab (Arizona State University), Alireza Karimi (Arizona State University), Zhuoer Lyu (Arizona State University), Adam Oest (Amazon), Dhruv Kuchhal (Amazon), Muhammad Saad (X Corp.), Gail-Joon Ahn (Arizona State University), Ruoyu Wang (Arizona State University), Tiffany Bao (Arizona State University), Yan Shoshitaishvili (Arizona State University), Adam Doupé (Arizona State University)

Read More

RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial...

Dzung Pham (University of Massachusetts Amherst), Shreyas Kulkarni (University of Massachusetts Amherst), Amir Houmansadr (University of Massachusetts Amherst)

Read More

Modeling End-User Affective Discomfort With Mobile App Permissions Across...

Yuxi Wu (Georgia Institute of Technology and Northeastern University), Jacob Logas (Georgia Institute of Technology), Devansh Ponda (Georgia Institute of Technology), Julia Haines (Google), Jiaming Li (Google), Jeffrey Nichols (Apple), W. Keith Edwards (Georgia Institute of Technology), Sauvik Das (Carnegie Mellon University)

Read More

AegisSat: A Satellite Cybersecurity Testbed

Roee Idan, Roy Peled, Aviel Ben Siman Tov, Eli Markus, Boris Zadov, Ofir Chodeda, Yohai Fadida (Ben Gurion University of the Negev), Oliver Holschke, Jan Plachy (T-Labs (Research & Innovation)), Yuval Elovici, Asaf Shabtai (Ben Gurion University of the Negev)

Read More