151 citations · 402 across the 16 of their papers we have counts for
17 papers
Predicting Opioid Use Outcomes in Minoritized Communities
Abhay Goyal, Nimay Parekh, Lam Yin Cheung +8
Machine learning algorithms can sometimes exacerbate health disparities based on ethnicity, gender, and other factors. There has been limited work at exploring potential biases wit…
Medication Error Detection Using Contextual Language Models
Yu Jiang, Christian Poellabauer
Medication errors most commonly occur at the ordering or prescribing stage, potentially leading to medical complications and poor health outcomes. While it is possible to catch the…
Understanding College Students' Phone Call Behaviors Towards a Sustainable Mobile Health and Wellbeing Solution
Yugyeong Kim, Sudip Vhaduri, Christian Poellabauer
During the transition from high school to on-campus college life, a student leaves home and starts facing enormous life changes, including meeting new people, more responsibilities…
Detecting Replay Attacks Using Multi-Channel Audio: A Neural Network-Based Method
Yuan Gong, Jian Yang, Christian Poellabauer
With the rapidly growing number of security-sensitive systems that use voice as the primary input, it becomes increasingly important to address these systems' potential vulnerabili…
Beyond Beaconing: Emerging Applications and Challenges of BLE
Jian Yang, Christian Poellabauer, Pramita Mitra +1
As an emerging technology with exceptional low energy consumption and low-latency data transmissions, Bluetooth Low Energy (BLE) has gained significant momentum in various applicat…
Second-order Non-local Attention Networks for Person Re-identification
Bryan, Xia, Yuan Gong +2
Recent efforts have shown promising results for person re-identification by designing part-based architectures to allow a neural network to learn discriminative representations fro…
The power of dynamic social networks to predict individuals' mental health
Shikang Liu, David Hachen, Omar Lizardo +3
Precision medicine has received attention both in and outside the clinic. We focus on the latter, by exploiting the relationship between individuals' social interactions and their…
Summary: Multi-modal Biometric-based Implicit Authentication of Wearable Device Users
Sudip Vhaduri, Christian Poellabauer
The Internet of Things (IoT) is increasingly empowering people with an interconnected world of physical objects ranging from smart buildings to portable smart devices such as weara…
Real-Time Adversarial Attacks
Yuan Gong, Boyang Li, Christian Poellabauer +1
In recent years, many efforts have demonstrated that modern machine learning algorithms are vulnerable to adversarial attacks, where small, but carefully crafted, perturbations on…
Heterogeneous network approach to predict individuals' mental health
Shikang Liu, Fatemeh Vahedian, David Hachen +4
Depression and anxiety are critical public health issues affecting millions of people around the world. To identify individuals who are vulnerable to depression and anxiety, predic…
ReMASC: Realistic Replay Attack Corpus for Voice Controlled Systems
Yuan Gong, Jian Yang, Jacob Huber +2
This paper introduces a new database of voice recordings with the goal of supporting research on vulnerabilities and protection of voice-controlled systems (VCSs). In contrast to p…
Biometric-Based Wearable User Authentication During Sedentary and Non-sedentary Periods
Sudip Vhaduri, Christian Poellabauer
The Internet of Things (IoT) is increasingly empowering people with an interconnected world of physical objects ranging from smart buildings to portable smart devices such as weara…
Protecting Voice Controlled Systems Using Sound Source Identification Based on Acoustic Cues
Yuan Gong, Christian Poellabauer
Over the last few years, a rapidly increasing number of Internet-of-Things (IoT) systems that adopt voice as the primary user input have emerged. These systems have been shown to b…
Towards Learning Fine-Grained Disentangled Representations from Speech
Yuan Gong, Christian Poellabauer
Learning disentangled representations of high-dimensional data is currently an active research area. However, compared to the field of computer vision, less work has been done for…
Topic Modeling Based Multi-modal Depression Detection
Yuan Gong, Christian Poellabauer
Major depressive disorder is a common mental disorder that affects almost 7% of the adult U.S. population. The 2017 Audio/Visual Emotion Challenge (AVEC) asks participants to build…
An Overview of Vulnerabilities of Voice Controlled Systems
Yuan Gong, Christian Poellabauer
Over the last few years, a rapidly increasing number of Internet-of-Things (IoT) systems that adopt voice as the primary user input have emerged. These systems have been shown to b…
Crafting Adversarial Examples For Speech Paralinguistics Applications
Yuan Gong, Christian Poellabauer
Computational paralinguistic analysis is increasingly being used in a wide range of cyber applications, including security-sensitive applications such as speaker verification, dece…