Graph Exploitation Symposium Overview

Unfortunately due to the current circumstances, the Graph Exploitation Symposium (GraphEx) has been suspended for this year. We are aiming to resurrect the symposium in April 2021. Planning for the symposium will begin this fall.

The symposium brings together leading experts from universities, industry, and government to explore the state of the art and define a future roadmap in network science. This year's symposium will focus on learning in the presence of adversaries. Particular emphases will be given to social influences and (adversarial) learning on graphs. In order to provide an interactive environment and promote strong interaction among the attendees, the event will be limited to a small group of invited attendees and will take place at the remotely located MIT Endicott House.


Visit the Endicott House website


Symposium Highlights

As part of the two-day technical program, topics of interest include:

  • Learning in the presence of adversaries
  • Social influences
  • Attributed and semantic networks
  • Inference under noise and uncertainty
  • Models and techniques for dynamic, heterogeneous networks
  • Analysis of anomalous, covert and hidden communities
  • Network visualization and visual analytics
  • Systems and architectures for large scale data
  • Challenges from various applications including bio, cyber and social domains

Symposium Organizers


Rajmonda Caceres / MIT Lincoln Laboratory

William Streilein / MIT Lincoln Laboratory

Technical Co-Chairs

Edoardo Airoldi / Temple & Harvard University

Edward Kao / MIT Lincoln Laboratory

Jason Matterer / MIT Lincoln Laboratory

Lin Li / MIT Lincoln Laboratory

Technical Committee

Nadya Bliss / Arizona State University

Robert Bond / MIT Lincoln Laboratory

Johan Ugander / Stanford University

Jordan Crouser / Smith College

Timothy Dasey / MIT Lincoln Laboratory

Benjamin Miller / MIT Lincoln Laboratory

Alexander Volfovsky / Duke University

Christopher Long / U.S. Department of Defense

David Martinez / MIT Lincoln Laboratory

Ali Pinar / Sandia National Laboratories

Steven Smith / MIT Lincoln Laboratory