research
∙
04/05/2023
UNICORN: A Unified Backdoor Trigger Inversion Framework
The backdoor attack, where the adversary uses inputs stamped with trigge...
share
research
∙
10/27/2022
Rethinking the Reverse-engineering of Trojan Triggers
Deep Neural Networks are vulnerable to Trojan (or backdoor) attacks. Rev...
research
∙
02/21/2022
Theoretical Analysis of Deep Neural Networks in Physical Layer Communication
Recently, deep neural network (DNN)-based physical layer communication t...
research
∙
08/17/2021
Detecting Crowdsourced Test Report Consistency for Mobile Apps with Deep Image Understanding and Text Analysis
Crowdsourced testing, as a distinct testing paradigm, has attracted much...
research
∙
06/02/2021
Opening the Black Box of Deep Neural Networks in Physical Layer Communication
Deep Neural Network (DNN)-based physical layer techniques are attracting...
research
∙
07/17/2020
Fine Timing and Frequency Synchronization for MIMO-OFDM: An Extreme Learning Approach
Multiple-input multiple-output orthogonal frequency-division multiplexin...
research
∙
11/10/2019
Machine Learning Based Channel Estimation: A Computational Approach for Universal Channel Conditions
Recently, machine learning has been introduced in communications to deal...
research
∙
11/23/2018
Deep Neural Network Aided Scenario Identification in Wireless Multi-path Fading Channels
This letter illustrates our preliminary works in deep nerual network (DN...
research
∙
11/19/2018