5 papers
Upper Bounds on the Generalization Error of Deep Learning Models via Local Robustness and Stability
Abdul-Rauf Nuhu, Parham M. Kebria, Vahid Hemmati +3
Generalization is a critical property of data-driven models, particularly deep learning models deployed in safety-critical applications. Robustness-based generalization bounds have…
Visual Heading Prediction for Autonomous Aerial Vehicles
Reza Ahmari, Ahmad Mohammadi, Vahid Hemmati +5
The integration of Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) is increasingly central to the development of intelligent autonomous systems for applications…
An Experimental Study of Trojan Vulnerabilities in UAV Autonomous Landing
Reza Ahmari, Ahmad Mohammadi, Vahid Hemmati +5
This study investigates the vulnerabilities of autonomous navigation and landing systems in Urban Air Mobility (UAM) vehicles. Specifically, it focuses on Trojan attacks that targe…
GPS Spoofing Attack Detection in Autonomous Vehicles Using Adaptive DBSCAN
Ahmad Mohammadi, Reza Ahmari, Vahid Hemmati +5
As autonomous vehicles become an essential component of modern transportation, they are increasingly vulnerable to threats such as GPS spoofing attacks. This study presents an adap…
A Validation Strategy for Deep Learning Models: Evaluating and Enhancing Robustness
Abdul-Rauf Nuhu, Parham Kebria, Vahid Hemmati +4
Data-driven models, especially deep learning classifiers often demonstrate great success on clean datasets. Yet, they remain vulnerable to common data distortions such as adversari…