Xiaozhu Meng Graduate Student xmeng AT cs DOT wisc DOT edu Computer Sciences University of Wisconsin-Madison 1210 W. Dayton St. Madison WI 53706, US

I am an Associate Researcher in Computer Sciences Department of University of Wisconsin - Madison. I receieved my PhD in Oct. 2018. I am fortunate to have Professor Bart Miller as my advisor. I work under the Paradyn Project and an active developer of the Dyninst Binary Code Analysis and Instrumentation Tool Suite.

Bio

Before coming to the US, I studied in Huazhong University of Science and Technoloy, China, and got my bachelor degree in Computer Science and Technology.

Publications

• Xiaozhu Meng, Barton P. Miller, and Somesh Jha,
  Adversarial Binaries for Authorship Identification,
  arXiv preprint arXiv:1809.08316.
• Xiaozhu Meng and Barton P. Miller,
  Binary Code Multi-Author Identification in Multi-Toolchain Scenarios,
  Under Submission.
• Xiaozhu Meng, Barton P. Miller, and Kwang-Sung Jun,
  Identifying Multiple Authors in a Binary Program,
  22nd European Symposium on Research in Computer Security (ESORICS), Oslo, Norway, September 2017
  Acceptance rate: 16% (54/340).
• Xiaozhu Meng,
  Fine-Grained Binary Code Authorship Identification,
  ACM SIGSOFT International Symposium on Foundations of Software Engineering, Student Research Competition Track (FSE-SRC), Seattle, WA, USA, Nov. 2016.
• Xiaozhu Meng and Barton P. Miller,
  Binary Code Is Not Easy,
  International Symposium on Software Testing and Analysis (ISSTA), Saarbrücken, German, July 2016
  Acceptance rate: 25% (37/147).
• William R. Williams, Xiaozhu Meng, Benjamin Welton, and Barton P. Miller,
  Dyninst and MRNet: Foundational Infrastructure for Parallel Tools,
  9th Annual Parallel Tools Workshop, Dresden, Germany, September 2015.
• Xiaozhu Meng, Barton P. Miller, William R. Williams, and Andrew R. Bernat,
  Mining Software Repositories for Accurate Authorship,
  29th IEEE International Conference on Software Maintenance (ICSM), Eindhoven, Netherlands, September 2013
  Acceptance rate: 22% (36/163).

Code

• Testsuite for binary analysis tool kit
  A collection of binary code constructs that are difficult to analyze
  [Download]
• Git-author
  A git extension for accurate line-level authorship information
  [Repo]