Cette page distingue les publications évaluées par les pairs des autres productions de recherche. Les notices HAL et les DOI éditeurs sont fournis lorsqu’ils sont disponibles. Mon CV HAL reste la source institutionnelle de référence.
FiCloud 2026, Granada, Spain, 2026
Adaptive Zero Trust security for automotive CAN networks with an emphasis on energy efficiency.
Aditi Kalgi, John Harrison Kurunathan, Yulliwas Ameur, P. Radha Krishna Reddy, Samia Bouzefrane. "Energy-Efficient Adaptive Zero Trust Security for Automotive CAN Networks." FiCloud 2026, Granada, Spain, 2026. Proceedings DOI pending.
ANT / EDI40 2026 - Procedia Computer Science, vol. 280, 2026
Privacy-preserving k-means clustering on homomorphically encrypted data using TFHE.
Rezak Aziz, Yulliwas Ameur, Vincent Audigier, Samia Bouzefrane. "Secure k-means Clustering using Homomorphic Encryption." Procedia Computer Science, vol. 280, 2026, pp. 576-583. DOI: 10.1016/j.procs.2026.04.073.
In: Securing the Digital Supply Chain: Advances, Challenges, and Solutions (Springer, Cham), 2026
How AI/ML enable predictive analytics, anomaly detection and real-time decision-making for supply chain security.
Yulliwas Ameur, Malek Kraiem. "Artificial Intelligence and Machine Learning: Revolutionizing Supply Chain Security." In: B. Hammi, N. El Madhoun (eds.), Securing the Digital Supply Chain, Signals and Communication Technology, Springer, Cham, 2026, pp. 183-201. DOI: 10.1007/978-3-032-11119-7_8.
In: Intelligent Cybersecurity and Resilience for Critical Industries: Challenges and Applications (River Publishers / Routledge), 2025
Homomorphic encryption as a building block for privacy-preserving blockchain applications.
Yulliwas Ameur, Idriss Taberkane, Samia Bouzefrane. "Advancing Blockchain Privacy: The Role of Homomorphic Encryption." In: Intelligent Cybersecurity and Resilience for Critical Industries: Challenges and Applications, River Publishers / Routledge, 2025, pp. 239-267. DOI: 10.1201/9788770047746-13.
Journal of Cyber Security and Mobility, 13(5), 2024
Combining homomorphic encryption with differential privacy for adaptive privacy-preserving machine learning.
Yulliwas Ameur, Samia Bouzefrane, Soumya Banerjee. "Developing Adaptive Homomorphic Encryption through Exploration of Differential Privacy." Journal of Cyber Security and Mobility, 13(5), 2024, pp. 863-886. DOI: 10.13052/jcsm2245-1439.1353.
ANT 2024 - 15th International Conference on Ambient Systems, Networks and Technologies (Hasselt, Belgium) - Procedia Computer Science, vol. 238, 2024
Privacy-preserving machine learning for vehicular ad-hoc networks using homomorphic encryption.
Yulliwas Ameur, Samia Bouzefrane. "Enhancing Privacy in VANETs through Homomorphic Encryption in Machine Learning Applications." Procedia Computer Science, vol. 238, 2024, pp. 151-158. DOI: 10.1016/j.procs.2024.06.010.
ANT 2023 - 14th International Conference on Ambient Systems, Networks and Technologies (Leuven, Belgium) - Procedia Computer Science, vol. 220, 2023
Securing outsourced computation across multiple cloud providers with homomorphic encryption.
Yulliwas Ameur, Samia Bouzefrane, Le Vinh Thinh. "Handling Security Issues by Using Homomorphic Encryption in Multi-cloud Environment." Procedia Computer Science, vol. 220, 2023, pp. 390-397. DOI: 10.1016/j.procs.2023.03.050.
In: Emerging Trends in Cybersecurity Applications (Springer), 2023
Survey and practical perspective on homomorphic encryption schemes and tools for privacy-preserving machine learning.
Yulliwas Ameur, Samia Bouzefrane, Vincent Audigier. "Application of Homomorphic Encryption in Machine Learning." In: Emerging Trends in Cybersecurity Applications, Springer, 2023, pp. 391-410. DOI: 10.1007/978-3-031-09640-2_18.
Privacy in Statistical Databases (PSD 2022), Paris - Springer, 2022
A non-interactive privacy-preserving k-NN classifier built on symmetric fully homomorphic encryption.
Yulliwas Ameur, Rezak Aziz, Vincent Audigier, Samia Bouzefrane. "Secure and Non-interactive k-NN Classifier Using Symmetric Fully Homomorphic Encryption." Privacy in Statistical Databases (PSD 2022), LNCS 13463, Springer, 2022, pp. 142-154. DOI: 10.1007/978-3-031-13945-1_11.
EasyChair Preprint 9814, 2023
A survey of privacy-enhancing technologies and their development for secure data processing.
Yulliwas Ameur, Samia Bouzefrane. "State-of-the-Art and Development of Privacy-Enhancing Technologies." EasyChair Preprint 9814, 2023.
HESAM Université - Conservatoire national des arts et métiers (Cnam), Paris, 2023
PhD thesis supervised by Samia Bouzefrane and Vincent Audigier - privacy-preserving ML (k-NN, k-means, differential privacy) over encrypted data in IoT/Cloud.
Yulliwas Ameur. "Exploring the Scope of Machine Learning using Homomorphic Encryption in IoT/Cloud." PhD thesis, HESAM Université / Cnam, defended December 18, 2023. NNT: 2023HESAC036. DOI: 10.70675/925cf43bz0251z4dabz9ea8z3a31c41f61f0.
Zenodo / GitHub, 2026
Reproducibility package and benchmark for compliance-aware security testing of LLM-based applications.
Yulliwas Ameur, Samia Bouzefrane, Lyes Khoukhi. "GovSecLLM++: Compliance-Aware Benchmark for Security Testing and Governance Evidence in LLM-Based Applications." Software and reproducibility package, Zenodo, 2026. Concept DOI: 10.5281/zenodo.20636767.
Zenodo, 2026
Experimental artifacts of GovSecLLM++, a compliance-aware benchmark for security testing and governance evidence in LLM-based applications.
Yulliwas Ameur, Samia Bouzefrane. "GovSecLLM++ SECAI 2026 Artifact Package." Zenodo, 2026. Concept DOI: 10.5281/zenodo.20646701; version: 10.5281/zenodo.20646702.
Open Research Europe, 2024
Open peer-review report, listed separately from authored research publications.
Yulliwas Ameur. "Peer Review Report For: Applications of Homomorphic Encryption in Secure Computation." Open Research Europe, 2024. DOI: 10.21956/openreseurope.19508.r42646.