Search Results - "Ouni, Bassem"

Model-Driven Architectural Framework towards Safe and Secure Nuclear Power Reactors by Ouni, Bassem, Aussagues, Christophe, Dhouib, Saadia, Mraidha, Chokri

“…Sensor-based digital systems for Instrumentation and Control (I&C) of nuclear reactors are quite complex in terms of architecture and functionalities. A…”
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SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation by Guesmi, Amira, Hanif, Muhammad Abdullah, Ouni, Bassem, Shafique, Muhammad

“…Monocular depth estimation (MDE) is an important task in scene understanding, and significant improvements in its performance have been witnessed with the…”
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Cyber-Security of Embedded IoTs in Smart Homes: Challenges, Requirements, Countermeasures, and Trends by Aldahmani, Aaesha, Ouni, Bassem, Lestable, Thierry, Debbah, Merouane

“…Connected computers and sensors transmit data across the Internet to solve problems and generate new services (IoT). Smart homes use IoT, for example. Smart…”
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Physical Adversarial Attacks for Camera-Based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook by Guesmi, Amira, Hanif, Muhammad Abdullah, Ouni, Bassem, Shafique, Muhammad

“…Deep Neural Networks (DNNs) have shown impressive performance in computer vision tasks; however, their vulnerability to adversarial attacks raises concerns…”
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Labeling strategy to improve neutron/gamma discrimination with organic scintillator by Hachem, Ali, Moline, Yoann, Corre, Gwenolé, Ouni, Bassem, Trocme, Mathieu, Elayeb, Aly, Carrel, Frédérick

“…Organic scintillators are widely used for neutron/gamma detection. Pulse shape discrimination algorithms have been commonly used to discriminate the detected…”
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Novel Model-Based approach for instrumentation and control of nuclear reactors by Ouni, Bassem, Aussagues, Christophe, Dhouib, Saadia, Mraidha, Chokri

“…Technological platforms dedicated for digital instrumentation and control of nuclear reactors are quite complex in terms of functionalities and devices. Hence,…”
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Investigation on vulnerabilities, threats and attacks prohibiting UAVs charging and depleting UAVs batteries: Assessments & countermeasures by Tlili, Fadhila, Fourati, Lamia Chaari, Ayed, Samiha, Ouni, Bassem

“…Unmanned aerial vehicles (UAVs) are the current leading devices used by different sectors. They open doors to new opportunities for investors and business…”
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Metaheuristic Algorithms for 6G wireless communications: Recent advances and applications by Abasi, Ammar Kamal, Aloqaily, Moayad, Guizani, Mohsen, Ouni, Bassem

“…The widespread distribution of intelligent applications and devices, coupled with the vast array of mobile data, technologies, and architectures within Sixth…”
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Secure Federated Learning with Fully Homomorphic Encryption for IoT Communications by Hijazi, Neveen Mohammad, Aloqaily, Moayad, Guizani, Mohsen, Ouni, Bassem, Karray, Fakhri

“…The emergence of the Internet of Things (IoT) has revolutionized people's daily lives, providing superior quality services in cognitive cities, healthcare, and…”
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Harris Hawks Feature Selection in Distributed Machine Learning for Secure IoT Environments by Hijazi, Neveen, Aloqaily, Moayad, Ouni, Bassem, Karray, Fakhri, Debbah, Merouane

“…The development of the Internet of Things (IoT) has dramatically expanded our daily lives, playing a pivotal role in the enablement of smart cities,…”
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Enhancing Mutual Trustworthiness in Federated Learning for Data-Rich Smart Cities by Wehbi, Osama, Arisdakessian, Sarhad, Guizani, Mohsen, Wahab, Omar Abdel, Mourad, Azzam, Otrok, Hadi, khzaimi, Hoda Al, Ouni, Bassem

“…Federated learning is a promising collaborative and privacy-preserving machine learning approach in data-rich smart cities. Nevertheless, the inherent…”
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Labeling strategy to improve neutron/gamma discrimination with plastic scintillator using artificial neural network by Hachem, Ali, Moline, Yoann, Corre, Gwenolé, Ouni, Bassem, Trocme, Mathieu, Elayeb, Aly, Carrel, Frédérick

“…Organic scintillators are widely used for neutron/gamma detection. Pulse shape discrimination algorithms have been commonly used to discriminate the detected…”
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An Incremental Gray-Box Physical Adversarial Attack on Neural Network Training by Al-qudah, Rabiah, Aloqaily, Moayad, Ouni, Bassem, Guizani, Mohsen, Lestable, Thierry

“…Neural networks have demonstrated remarkable success in learning and solving complex tasks in a variety of fields including cognitive cities. Nevertheless, the…”
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Multi-level energy/power-aware design methodology for MPSoC by Ouni, Bassem, Mhedbi, Imen, Trabelsi, Chiraz, Ben Atitallah, Rabie, Belleudy, Cécile

“…Multiprocessor Systems-on-Chip (MPSoC) are becoming one of the most used solutions in order to meet the growing computation requirements of modern embedded…”
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Enhancing IoT Security via Automatic Network Traffic Analysis: The Transition from Machine Learning to Deep Learning by Hamidouche, Mounia, Popko, Eugeny, Ouni, Bassem

“…This work provides a comparative analysis illustrating how Deep Learning (DL) surpasses Machine Learning (ML) in addressing tasks within Internet of Things…”
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Physical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook by Guesmi, Amira, Hanif, Muhammad Abdullah, Ouni, Bassem, Shafique, Muhammed

“…In this paper, we present a comprehensive survey of the current trends focusing specifically on physical adversarial attacks. We aim to provide a thorough…”
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SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation by Guesmi, Amira, Hanif, Muhammad Abdullah, Ouni, Bassem, Shafique, Muhammad

“…In this paper, we investigate the vulnerability of MDE to adversarial patches. We propose a novel \underline{S}tealthy \underline{A}dversarial…”
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Accurate energy characterization of OS services in embedded systems by Ouni, Bassem, Belleudy, Cécile, Senn, Eric

“…As technology scales for increased circuit density and performance, the management of power consumption in embedded systems is becoming critical. Because the…”
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Harris Hawks Feature Selection in Distributed Machine Learning for Secure IoT Environments by Hijazi, Neveen, Aloqaily, Moayad, Ouni, Bassem, Karray, Fakhri, Debbah, Merouane

“…The development of the Internet of Things (IoT) has dramatically expanded our daily lives, playing a pivotal role in the enablement of smart cities,…”
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SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications by Guesmi, Amira, Hanif, Muhammad Abdullah, Alouani, Ihsen, Ouni, Bassem, Shafique, Muhammad

“…Monocular depth estimation (MDE) has advanced significantly, primarily through the integration of convolutional neural networks (CNNs) and more recently,…”
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