23 citations · 32 across the 11 of their papers we have counts for
11 papers
SpyDir: Spy Device Localization Through Accurate Direction Finding
Wenhao Chen, Wenyi Morty Zhang, Wei Sun +2
Hidden spy cameras have become a great privacy threat recently, as these low-cost, low-power, and small form-factor IoT devices can quietly monitor human activities in the indoor e…
Can We Remove the Ground? Obstacle-aware Point Cloud Compression for Remote Object Detection
Pengxi Zeng, Alberto Presta, Jonah Reinis +3
Efficient point cloud (PC) compression is crucial for streaming applications, such as augmented reality and cooperative perception. Classic PC compression techniques encode all the…
DOLOS: Tricking the Wi-Fi APs with Incorrect User Locations
Aditya Arun, Vaibhav Anand, Wei Sun +2
Wi-Fi-based indoor localization has been extensively studied for context-aware services. As a result, the accurate Wi-Fi-based indoor localization introduces a great location priva…
On the Feasibility of Reasoning about the Internal States of Blackbox IoT Devices Using Side-Channel Information
Wei Sun, Yuwei Xiao, Haojian Jin +1
Internet of Things (IoT) devices are typically designed to function in a secure, closed environment, making it difficult for users to comprehend devices' behaviors. This paper show…
XRLoc: Accurate UWB Localization to Realize XR Deployments
Aditya Arun, Shunsuke Saruwatari, Sureel Shah +1
Understanding the location of ultra-wideband (UWB) tag-attached objects and people in the real world is vital to enabling a smooth cyber-physical transition. However, most UWB loca…
WiROS: WiFi sensing toolbox for robotics
William Hunter, Aditya Arun, Dinesh Bharadia
Many recent works have explored using WiFi-based sensing to improve SLAM, robot manipulation, or exploration. Moreover, widespread availability makes WiFi the most advantageous RF…
Users are Closer than they Appear: Protecting User Location from WiFi APs
Roshan Ayyalasomayajula, Aditya Arun, Wei Sun +1
WiFi-based indoor localization has now matured for over a decade. Most of the current localization algorithms rely on the WiFi access points (APs) in the enterprise network to loca…
Spoofing Attack Detection in the Physical Layer with Commutative Neural Networks
Daniel Romero, Peter Gerstoft, Hadi Givehchian +1
In a spoofing attack, an attacker impersonates a legitimate user to access or tamper with data intended for or produced by the legitimate user. In wireless communication systems, t…
Deep Learning Object Detection Approaches to Signal Identification
Luke Wood, Kevin Anderson, Peter Gerstoft +3
Traditionally source identification is solved using threshold based energy detection algorithms. These algorithms frequently sum up the activity in regions, and consider regions ab…
ViWiD: Leveraging WiFi for Robust and Resource-Efficient SLAM
Aditya Arun, William Hunter, Roshan Ayyalasomayajula +1
Recent interest towards autonomous navigation and exploration robots for indoor applications has spurred research into indoor Simultaneous Localization and Mapping (SLAM) robot sys…
SSLIDE: Sound Source Localization for Indoors based on Deep Learning
Yifan Wu, Roshan Ayyalasomayajula, Michael J. Bianco +2
This paper presents SSLIDE, Sound Source Localization for Indoors using DEep learning, which applies deep neural networks (DNNs) with encoder-decoder structure to localize sound so…