5 citations · 7 across the 6 of their papers we have counts for
6 papers
Development of an Edge Resilient ML Ensemble to Tolerate ICS Adversarial Attacks
Likai Yao, Qinxuan Shi, Zhanglong Yang +2
Deploying machine learning (ML) in dynamic data-driven applications systems (DDDAS) can improve the security of industrial control systems (ICS). However, ML-based DDDAS are vulner…
GPS-IDS: An Anomaly-based GPS Spoofing Attack Detection Framework for Autonomous Vehicles
Murad Mehrab Abrar, Amal Youssef, Raian Islam +6
Autonomous Vehicles (AVs) heavily rely on sensors and communication networks like Global Positioning System (GPS) to navigate autonomously. Prior research has indicated that networ…
Quantized Transformer Language Model Implementations on Edge Devices
Mohammad Wali Ur Rahman, Murad Mehrab Abrar, Hunter Gibbons Copening +4
Large-scale transformer-based models like the Bidirectional Encoder Representations from Transformers (BERT) are widely used for Natural Language Processing (NLP) applications, whe…
A BERT-based Deep Learning Approach for Reputation Analysis in Social Media
Mohammad Wali Ur Rahman, Sicong Shao, Pratik Satam +4
Social media has become an essential part of the modern lifestyle, with its usage being highly prevalent. This has resulted in unprecedented amounts of data generated from users in…
AI-based Arabic Language and Speech Tutor
Sicong Shao, Saleem Alharir, Salim Hariri +3
In the past decade, we have observed a growing interest in using technologies such as artificial intelligence (AI), machine learning, and chatbots to provide assistance to language…
Video Anomaly Detection Using Pre-Trained Deep Convolutional Neural Nets and Context Mining
Chongke Wu, Sicong Shao, Cihan Tunc +1
Anomaly detection is critically important for intelligent surveillance systems to detect in a timely manner any malicious activities. Many video anomaly detection approaches using…