Publications
The JHU-MIT System Description for NIST SRE19 AV
Summary
Summary
This document represents the SRE19 AV submission by the team composed of JHU-CLSP, JHU-HLTCOE and MIT Lincoln Labs. All the developed systems for the audio and videoconditions consisted of Neural network embeddings with some flavor of PLDA/cosine back-end. Primary fusions obtained Actual DCF of 0.250 on SRE18 VAST eval, 0.183...
Graph matching via multi-scale heat diffusion
Summary
Summary
We propose a novel graph matching algorithm that uses ideas from graph signal processing to match vertices of graphs using alternative graph representations. Specifically, we consider a multi-scale heat diffusion on the graphs to create multiple weighted graph representations that incorporate both direct adjacencies as well as local structures induced...
This looks like that: deep learning for interpretable image recognition
Summary
Summary
When we are faced with challenging image classification tasks, we often explain our reasoning by dissecting the image, and pointing out prototypical aspects of one class or another. The mounting evidence for each of the classes helps us make our final decision. In this work, we introduce a deep network...
Prototype and analytics for discovery and exploitation of threat networks on social media
Summary
Summary
Identifying and profiling threat actors are high priority tasks for a number of governmental organizations. These threat actors may operate actively, using the Internet to promote propaganda, recruit new members, or exert command and control over their networks. Alternatively, threat actors may operate passively, demonstrating operational security awareness online while...
Identification and detection of human trafficking using language models
Summary
Summary
In this paper, we present a novel language model-based method for detecting both human trafficking ads and trafficking indicators. The proposed system leverages language models to learn language structures in adult service ads, automatically select a list of keyword features, and train a machine learning model to detect human trafficking...
Characterization of disinformation networks using graph embeddings and opinion mining
Summary
Summary
Global social media networks' omnipresent access, real time responsiveness and ability to connect with and influence people have been responsible for these networks' sweeping growth. However, as an unintended consequence, these defining characteristics helped create a powerful new technology for spread of propaganda and false information. We present a novel...
FirmFuzz: automated IOT firmware introspection and analysis
Summary
Summary
While the number of IoT devices grows at an exhilarating pace their security remains stagnant. Imposing secure coding standards across all vendors is infeasible. Testing individual devices allows an analyst to evaluate their security post deployment. Any discovered vulnerabilities can then be disclosed to the vendors in order to assist...
On-demand forensic video analytics for large-scale surveillance systems
Summary
Summary
This work presents FOVEA, an add-on suite of analytic tools for the forensic review of video in large-scale surveillance systems. While significant investment has been made toward improving camera coverage and quality, the burden on video operators for reviewing and extracting useful information from the video has only increased. Daily...
Cultivating professional technical skills and understanding through hands-on online learning experiences
Summary
Summary
Life-long learning is necessary for all professions because the technologies, tools and skills required for success over the course of a career expand and change. Professionals in science, technology, engineering and mathematics (STEM) fields face particular challenges as new multi-disciplinary methods, e.g. Machine Learning and Artificial Intelligence, mature to replace...
Investigation of the relationship of vocal, eye-tracking, and fMRI ROI time-series measures with preclinical mild traumatic brain injury
Summary
Summary
In this work, we are examining correlations between vocal articulatory features, ocular smooth pursuit measures, and features from the fMRI BOLD response in regions of interest (ROI) time series in a high school athlete population susceptible to repeated head impact within a sports season. Initial results have indicated relationships between...