7 citations · 8 across the 2 of their papers we have counts for
9 papers
DEFORM: A Practical, Universal Deep Beamforming System
Hai N. Nguyen, Guevara Noubir
We introduce, design, and evaluate a set of universal receiver beamforming techniques. Our approach and system DEFORM, a Deep Learning (DL) based RX beamforming achieves significan…
Towards an AI-Driven Universal Anti-Jamming Solution with Convolutional Interference Cancellation Network
Hai N. Nguyen, Guevara Noubir
Wireless links are increasingly used to deliver critical services, while intentional interference (jamming) remains a very serious threat to such services. In this paper, we are co…
Spectro-Temporal RF Identification using Deep Learning
Hai N. Nguyen, Marinos Vomvas, Triet Vo-Huu +1
RF emissions detection, classification, and spectro-temporal localization are crucial not only for tasks relating to understanding, managing, and protecting the RF spectrum, but al…
Spectrum-Flexible Secure Broadcast Ranging
Tien D. Vo-Huu, Triet D. Vo-Huu, Guevara Noubir
Secure ranging is poised to play a critical role in several emerging applications such as self-driving cars, unmanned aerial systems, wireless IoT devices, and augmented reality. I…
A Privacy-Preserving Longevity Study of Tor's Hidden Services
Amirali Sanatinia, Jeman Park, Erik-Oliver Blass +2
Tor and hidden services have emerged as a practical solution to protect user privacy against tracking and censorship. At the same time, little is known about the lifetime and natur…
Mitigating Location Privacy Attacks on Mobile Devices using Dynamic App Sandboxing
Sashank Narain, Guevara Noubir
We present the design, implementation and evaluation of a system, called MATRIX, developed to protect the privacy of mobile device users from location inference and sensor side-cha…