Call for Papers: Workshop on Binary Analysis Research (BAR) 2019

With the analysis of binary code once again becoming relevant due to the proliferation of interconnected embedded devices, the subfield of binary analysis techniques has recently undergone a renaissance. Over the past few years, well over a dozen binary analysis frameworks were produced and released by well over a dozen research groups and private enterprise, putting the world in a situation where there are more seriously-developed binary analysis frameworks than there are web browsers. Of course, the situation has not been ignored by funding agencies, with massive grants, featuring binary analysis, being funded around the world.

This binary analysis gold rush has taken place in a mostly uncoordinated manner, with some researchers meeting up on an ad-hoc basis at conferences and other research groups working in obscurity and isolation. As a result, while commonly-adapted solutions to some problems have emerged, there is very little actual sharing and solution reuse among tools. This has resulted in missing tool functionality (e.g., some open source research prototypes support wide ranges of architectures that others do not, even though all of the code involved is open source) and needlessly duplicated effort (e.g., Miasm, Manticore, and angr all separately implement conceptually identical function summaries to simplify analysis of library code and to emulate system calls) and has hampered the adoption of fundamental scientific advances in the field.

The BAR aims to provide an interaction point for researchers doing work in binary program analysis, with half of the workshop dedicated to traditional paper sessions and the other half to a roundtable discussion among researchers, implementers, and end-users of binary analysis techniques. To this end, we welcome submissions on all aspects of binary analysis, including security, reverse engineering, visualization, AI and machine learning, program analysis theories, human factors, gamification, tooling, and transition from research.

Important: A key goal of this workshop is to foster advancement in binary analysis techniques. To this end, this workshop will emphasize the importance of releasing and sharing artifacts that can be used to reproduce results in papers and can be used as a basis for further research and development. Therefore, we sincerely hope that all authors will release or open source artifacts that are related to their submissions, including but are not limited to, software kits, source code, data-sets, raw data used in evaluations, etc. Papers submitted with artifacts or promises of artifact releases will get special recognition in the form of an artifact certification badge on the publication. Paper submissions that do not commit to releasing or open sourcing their artifacts will be considered only when there is room left after other submissions are accepted.

Areas of Interest

Topics of interest include, but are not limited to:

  • Building blocks of binary analysis (program slicing, taint tracking, summarization, binary rewriting, formal methods).
  • Automated binary hardening (against vulnerabilities and against analysis).
  • Binary analysis to assist humans (visualization, UI/UX design).
  • Human assistance to binary analysis (i.e., human-assisted cyber reasoning systems).
  • Modeling and discovering non-memory-corruption vulnerabilities (information leaks, side-channels).
  • Automated exploitation.
  • Data exchange and sharing between binary analysis platforms.
  • Fundamental capabilities (root-cause analysis).
  • Non-trivial targets (real-world binaries, embedded devices, beyond binary code).
  • Binary analysis for CTF competitions.
  • Artificial intelligence, machine learning and binary analysis.
  • Environment modeling for binary analysis.
  • Transition from research prototype to industry-grade tool (and practical problems thereof).
  • Improving the scalability of automated binary analysis techniques.
  • Interaction and integration of tools.
  • Reports of and lessons-learned from applying previous approaches or replicating published papers.

Important Dates

  • Paper submission: Anywhere-on-earth (AOE) 21 December 2018
  • Acceptance notification: 15 January 2019
  • Early registration closes: 26 January 2019
  • Workshop: 24 February 2019 (co-located with NDSS 2019)


Catamaran Resort Hotel & Spa, San Diego, California, United States.

Submission Instructions

All papers must be written in English. Papers must be formatted for US letter size paper in a two-column layout, with columns no more than 9.25-inch high and 3.5-inch wide. The text must be in Times font, 10-point or larger, with 11-point or larger line spacing. If possible, authors should use the templates provided by NDSS.

We invite both full papers and short papers. Full papers should have no more than 10 pages in total (excluding references and appendices). Short papers must have less than 6 pages (again, excluding references and appendices), and can be about work-in-progress and novel ideas. Short papers will be selected based on their potential to spark interesting discussions during the workshop.

Submissions are encouraged to be anonymized for review, but this is not necessary.

The proceedings will be published by the Internet Society after NDSS.

Submission site:

Program Committee Chairs

  • General chair: Ruoyu “Fish” Wang, Arizona State University
  • Paper sessions chair: Antonio Bianchi, The University of Iowa
  • Discussion sessions chair: Brendan Dolan-Gavitt, New York University

Program Committee

  • Thanassis Avgerinos, ForAllSecure
  • Davide Balzarotti, EURECOM
  • Tiffany Bao, Arizona State University
  • Zheng Leong Chua, National University of Singapore
  • Jacopo Corbetta, Qualcomm
  • Alessandro Di Federico,
  • Manuel Egele, Boston University
  • Sang Kil Cha, KAIST
  • Christophe Hauser, University of Southern California
  • Zhenkai Liang, National University of Singapore
  • Taesoo Kim, Georgia Institute of Technology
  • Tim Leek, MIT Lincoln Labs
  • Christopher Liebchen, Independent Researcher
  • Zhiqiang Lin, The Ohio State University
  • Aravind Machiry, UC Santa Barbara
  • David Melski, GrammaTech
  • Michalis Polychronakis, Stony Brook University
  • Wil Robertson, Northeastern University
  • Brendan Saltaformaggio, Georgia Institute of Technology
  • Yan Shoshitaishvili, Arizona State University
  • Giovanni Vigna, UC Santa Barbara
  • Jordan Wiens, Vector35
  • Stefano Zanero, Politecnico Di Milano
  • Chao Zhang, Tsinghua University
  • Mingwei Zhang, Intel Labs

BAR Workshop Advisor

  • Yan Shoshitaishvili, Arizona State University