71 citations · 107 across the 11 of their papers we have counts for
12 papers
A Multi-Scale Isolation Forest Approach for Real-Time Detection and Filtering of FGSM Adversarial Attacks in Video Streams of Autonomous Vehicles
Richard Abhulimhen, Negash Begashaw, Gurcan Comert +2
Deep Neural Networks (DNNs) have demonstrated remarkable success across a wide range of tasks, particularly in fields such as image classification. However, DNNs are highly suscept…
An Anomaly Detection System Based on Generative Classifiers for Controller Area Network
Chunheng Zhao, Stefano Longari, Michele Carminati +1
As electronic systems become increasingly complex and prevalent in modern vehicles, securing onboard networks is crucial, particularly as many of these systems are safety-critical.…
Evaluating the Adversarial Robustness of Detection Transformers
Amirhossein Nazeri, Chunheng Zhao, Pierluigi Pisu
Robust object detection is critical for autonomous driving and mobile robotics, where accurate detection of vehicles, pedestrians, and obstacles is essential for ensuring safety. D…
Causal Interpretability for Adversarial Robustness: A Hybrid Generative Classification Approach
Chunheng Zhao, Pierluigi Pisu, Gurcan Comert +3
Deep learning-based discriminative classifiers, despite their remarkable success, remain vulnerable to adversarial examples that can mislead model predictions. While adversarial tr…
LSTM-based Load Forecasting Robustness Against Noise Injection Attack in Microgrid
Amirhossein Nazeri, Pierluigi Pisu
In this paper, we investigate the robustness of an LSTM neural network against noise injection attacks for electric load forecasting in an ideal microgrid. The performance of the L…
On DoS Resiliency Analysis of Networked Control Systems: Trade-Off Between Jamming Actions and Network Delays
Roberto Merco, Francesco Ferrante, Pierluigi Pisu
This letter deals with the problem of quantifying resiliency of Networked Control Systems (NCSs) to Denial-of-Service (DoS) attacks and variable network delays. Internal exponentia…
Robust Output Feedback Control Design in the Presence of Sporadic Measurements
Roberto Merco, Francesco Ferrante, Ricardo G. Sanfelice +1
Output feedback control design for linear time-invariant systems in the presence of sporadic measurements and exogenous perturbations is addressed. To cope with the sporadic availa…
Impact of Weather Conditions on 5G Communication Channel under Connected Vehicles Framework
Esmail M M Abuhdima, Ahmed El Qaouaq, Shakendra Alston +6
Recent research focused on improving the vehicle-to-vehicle communication (V2V) based on the 5G technology. The V2V application is important because it will reduce the risk of acci…
The Effect of Dust and Sand on the 5G Terrestrial Links
Esmail M M Abuhdima, Gurcan Comert, Pierluigi Pisu +6
Wireless connections are a communication channel used to support different applications in our life such as microwave connections, mobile cellular networks, and intelligent transpo…
A Hybrid Controller for DOS-Resilient String-Stable Vehicle Platoons
Roberto Merco, Francesco Ferrante, Pierluigi Pisu
This paper deals with the design of resilient Cooperative Adaptive Cruise Control (CACC) for homogeneous vehicle platoons in which communication is vulnerable to Denial-of-Service…
Behavior Identification and Prediction for a Probabilistic Risk Framework
Jasprit Singh Gill, Pierluigi Pisu, Venkat N. Krovi +1
Operation in a real world traffic requires autonomous vehicles to be able to plan their motion in complex environments (multiple moving participants). Planning through such environ…
A Driver-in-the Loop Fuel Economic Control Strategy for Connected Vehicles in Urban Roads
Baisravan HomChaudhuri, Pierluigi Pisu
In this paper, we focus on developing driver-in-the loop fuel economic control strategy for multiple connected vehicles. The control strategy is considered to work in a driver assi…