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20172023
most citedTopic Modeling Based Multi-modal Depression Detection

151 citations · 402 across the 16 of their papers we have counts for

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Showing cs.CRShow all

6 papers · 1 filter

cs.CR2019

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…

cs.CR2019★ 8 cited

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…

cs.CR2019★ 2 cited

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…

cs.CR2018★ 25 cited

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…

cs.CR2018★ 32 cited

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…

cs.CR2018★ 27 cited

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…