Best Paper Award for the 1st International Conference on HCI for Cybersecurity, Privacy and Trust, in the context of HCI International 2019, 16-31 July 2019, Orlando, FL, USA
Certificate for Best Paper Award of the 1st International Conference on HCI for Cybersecurity, Privacy and Trust
Alexander Berman (Texas A&M University, USA) and
Celeste Lyn Paul (U.S. Department of Defense, USA)
for the paper entitled
"Making Sense of Darknet Markets: Automatic Inference of Semantic Classifications from Unconventional Multimedia Datasets"
Presented in the context of
HCI International 2019
16-31 July 2019, Orlando, FL, USA
"Darknet Markets are a hotbed of illicit trade and are difficult for law enforcement to monitor and analyze. Topic Modeling has been a popular method to semantically analyze market listings, but lacks the ability to infer the information-rich visual semantics of images embedded within these listings. In this paper we present a relatively fast method using unsupervised and self-supervised machine learning methods to infer image semantics from large, unstructured multimedia corpora, and demonstrate how it may aid analysts in investigating the content of Darknet Markets. "
The full paper is available through SpringerLink, provided that you have proper access rights.