Nov 26, 2020New Machine Learning Method Helps Wearables Diagnose Sleep DisordersAs many as 70 million Americans suffer from sleep disorders that affects their daily functioning, long-term health and longevity. The long-term effects of sleep deprivation and sleep disorders include risk of hypertension, diabetes, obesity, depression, heart attack, and stroke. The cost of undiagnosed sleep apnea alone is estimated to exceed…Wearables3 min readWearables3 min read
Nov 25, 2020A Multi-Purpose Toolbox to Quantify, Mitigate and Visualize Risk of Virus SpreadWhat is graph vulnerability and robustness? First mentioned as early as the 1970’s, network robustness has a rich and diverse history spanning numerous fields of engineering and science. While the fields of study are diverse, they are linked by a common definition, defined as a measure of a network’s ability to continue functioning when part of…Coronavirus8 min readCoronavirus8 min read
Nov 25, 2020Protecting Deep Learning Systems from Adversarial AttacksEvery day, neural networks are being integrated into a wide range of high impact systems, from self driving cars to bio-medical screening and diagnosis. This raises the extremely important question —just how secure are these systems from attack? The unfortunate answer is, they are quite vulnerable. Researchers at Georgia Tech…Machine Learning3 min readMachine Learning3 min read
Nov 24, 2020How to defend enterprise networks against lateral attacks?Attack campaigns from criminal organizations and nation state actors are quickly becoming one of the most powerful forms of disruption. In 2016 alone, malicious cyber activities recently cost the U.S. economy $109 billion. …Hacking7 min readHacking7 min read
Nov 24, 2020A Large-Scale Database for Graph Representation LearningWhat is graph representation learning? In Euclidean space, we can easily determine an object’s class by looking at it’s neighbors (see right-half of Figure 1). However, when working with graph data, how do we compare graphs? This is a key question that has been studied for decades. However, the recent emergence of graph data across…Machine Learning4 min readMachine Learning4 min read
