Embedded operating systems energy overhead. - Bassem Ouni; Cécile Belleudy; Sébastien Bilavarn; Eric Senn (DASIP, 2011)

Placement of Hardware Tasks on FPGA using the Bees Algorithm. - Bassem Ouni; Ikbel Belaid; Fabrice Muller; Maher Benjemaa (PECCS, 2011)

Energy Characterization and Classification of Embedded Operating System Services. - Bassem Ouni; Cécile Belleudy; Eric Senn (DSD, 2012)

Realistic energy modeling of scheduling, interprocess-communication and context switch routines. - Bassem Ouni; Cécile Belleudy; Eric Senn (DTIS, 2012)

Accurate energy characterization of OS services in embedded systems. - Bassem Ouni; Cécile Belleudy; Eric Senn (EURASIP J. Embed. Syst., 2012)

Complete and Approximate Methods for Off-Line Placement of Hardware Tasks on Reconfigurable Devices. - Ikbel Belaid; Bassem Ouni; Fabrice Muller; Maher Benjemaa (J. Circuits Syst. Comput., 2013)

High-level energy characterization, modeling and estimation for OS-based platforms. (Caractérisation, modélisation et estimation de la consommation d'énergie à haut-niveau des OS embarqués). - Bassem Ouni (2013)

Multi-level energy/power-aware design methodology for MPSoC. - Bassem Ouni; Imen Mhedbi; Chiraz Trabelsi; Rabie Ben Atitallah; Cécile Belleudy (J. Parallel Distributed Comput., 2017)

Model-Driven Architectural Framework towards Safe and Secure Nuclear Power Reactors. - Bassem Ouni; Christophe Aussaguès; Saadia Dhouib; Chokri Mraidha (Sensors, 2021)

Artificial Intelligence Based Approach for Fault and Anomaly Detection Within UAVs. - Fadhila Tlili; Samiha Ayed; Lamia Chaari; Bassem Ouni (AINA (1), 2022)

Deep Learning and Blockchain-based Framework to Detect Malware in Autonomous Vehicles. - Dev Patel; Dhairya Jadav; Rajesh Gupta 007; Nilesh Kumar Jadav; Sudeep Tanwar; Bassem Ouni; Mohsen Guizani (IWCMC, 2022)

Investigation on vulnerabilities, threats and attacks prohibiting UAVs charging and depleting UAVs batteries: Assessments & countermeasures. - Fadhila Tlili; Lamia Chaari Fourati; Samiha Ayed; Bassem Ouni (Ad Hoc Networks, 2022)

Optimization of CNN-based Federated Learning for Cyber-Physical Detection. - Ammar Kamal Abasi; Moayad Aloqaily; Bassem Ouni; Maher Hamdi (CCNC, 2023)

Joint Association and Computing Resource Optimization for Distributed Wireless Metaverse. - Latif U. Khan; Mohsen Guizani; Bassem Ouni; Mohamed Adel Serhani (CiSt, 2023)

On the Viability of Federated Deep Autoencoder for Botnet Threat Detection. - Belsabel Teklemariam; Saron Bokretsion; Safa Otoum; Bassem Ouni (DASC/PiCom/CBDCom/CyberSciTech, 2023)

An Incremental Gray-Box Physical Adversarial Attack on Neural Network Training. - Rabiah Al-qudah; Moayad Aloqaily; Bassem Ouni; Mohsen Guizani; Thierry Lestable (ICC, 2023)

Harris Hawks Feature Selection in Distributed Machine Learning for Secure IoT Environments. - Neveen Hijazi 001; Moayad Aloqaily; Bassem Ouni; Fakhri Karray; Mérouane Debbah (ICC, 2023)

Enhancing IoT Security via Automatic Network Traffic Analysis: The Transition from Machine Learning to Deep Learning. - Mounia Hamidouche; Eugeny Popko; Bassem Ouni (IoT, 2023)

A Survey on Securing 6G Wireless Communications based Optimization Techniques. - Ammar Kamal Abasi; Moayad Aloqaily; Bassem Ouni; Mohsen Guizani; Mérouane Debbah; Fakhri Karray (IWCMC, 2023)

Physical Adversarial Attacks for Camera-Based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook. - Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (IEEE Access, 2023)

SAAM: Stealthy Adversarial Attack on Monoculor Depth Estimation. - Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2023)

ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches. - Nandish Chattopadhyay; Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2023)

DefensiveDR: Defending against Adversarial Patches using Dimensionality Reduction. - Nandish Chattopadhyay; Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2023)

Authenticating Medications with QR-Codes and Compact Digital Signatures. - Julien S. Jainsky; David Naccache; Bassem Ouni; Ofer Yifrach-Stav (IACR Cryptol. ePrint Arch., 2023)

Defending against Adversarial Patches using Dimensionality Reduction. - Nandish Chattopadhyay; Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (DAC, 2024)

SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications. - Amira Guesmi; Muhammad Abdullah Hanif; Ihsen Alouani; Bassem Ouni; Muhammad Shafique 001 (IROS, 2024)

A Joint Sensing, Communication, and Task Offloading Framework for Vehicular Metaverse. - Maryam Alghfeli; Latif U. Khan; Mohsen Guizani; Bassem Ouni (WCNC, 2024)

Federated Learning Security: An Incremental Distributed Attack Approach. - Rabiah Al-qudah; Neveen Mohammad Hijazi 001; Moayad Aloqaily; Mohsen Guizani; Bassem Ouni (WF-IoT, 2024)

Federated Learning in Vehicular Networks: A Review of Emerging Trends and Future Directions. - Muhammad Asad 002; Safa Otoum; Bassem Ouni (WF-IoT, 2024)

SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation. - Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (IEEE Access, 2024)

Metaheuristic Algorithms for 6G wireless communications: Recent advances and applications. - Ammar Kamal Abasi; Moayad Aloqaily; Mohsen Guizani; Bassem Ouni (Ad Hoc Networks, 2024)

Exploring the Robustness and Transferability of Patch-Based Adversarial Attacks in Quantized Neural Networks. - Amira Guesmi; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2024)

Secure Federated Learning With Fully Homomorphic Encryption for IoT Communications. - Neveen Mohammad Hijazi 001; Moayad Aloqaily; Mohsen Guizani; Bassem Ouni; Fakhri Karray (IEEE Internet Things J., 2024)

Quishing Attack Detection and Mitigation Using Machine Learning and Deep Learning for Malicious URL Identification. - Ahmad Tayachi; Bassem Ouni; Azzam Mourad; Aiman Erbad (IWCMC, 2025)

Survey on Backdoor Attacks on Deep Learning: Current Trends, Categorization, Applications, Research Challenges, and Future Prospects. - Muhammad Abdullah Hanif; Nandish Chattopadhyay; Bassem Ouni; Muhammad Shafique 001 (IEEE Access, 2025)

Enhancing Mutual Trustworthiness in Federated Learning for Data-Rich Smart Cities. - Osama Wehbi; Sarhad Arisdakessian; Mohsen Guizani; Omar Abdel Wahab 001; Azzam Mourad; Hadi Otrok; Hoda Alkhzaimi; Bassem Ouni (IEEE Internet Things J., 2025)

A Survey of Adversarial Defenses in Vision-based Systems: Categorization, Methods and Challenges. - Nandish Chattopadhyay; Abdul Basit; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2025)

Breaking the Limits of Quantization-Aware Defenses: QADT-R for Robustness Against Patch-Based Adversarial Attacks in QNNs. - Amira Guesmi; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2025)

Security Challenges and Solutions for Autonomous Vehicles and Drones in the AI Age. - Venkatraman Balasubramanian 002; Moayad Aloqaily; Mohsen Guizani; Bassem Ouni (IEEE Internet Things Mag., 2025)

TESSER: Transfer-Enhancing Adversarial Attacks from Vision Transformers via Spectral and Semantic Regularization. - Amira Guesmi; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2025)

Zero-Trust Federated Learning via 6G URLLC for Vehicular Communications. - Muhammad Asad 002; Safa Otoum; Bassem Ouni (IEEE J. Sel. Areas Commun., 2025)

ShrinkBox: Backdoor Attack on Object Detection to Disrupt Collision Avoidance in Machine Learning-based Advanced Driver Assistance Systems. - Muhammad Zaeem Shahzad; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2025)

Toward Sustainable and Secure Smart Internet of Buildings Using Advanced Communication Systems. - Sewit Yohannes; Lidia Bereketeab; Moayad Aloqaily; Bassem Ouni; Mohsen Guizani; Mérouane Debbah (IEEE Netw., 2025)

TriQDef: Disrupting Semantic and Gradient Alignment to Prevent Adversarial Patch Transferability in Quantized Neural Networks. - Amira Guesmi; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2025)