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Dr Yulliwas Ameur
Enseignant-chercheur en cybersécurité : cryptographie, PPML, sécurité des systèmes et réseaux, IA et investigation numérique.
Posts
publications
Secure and non-interactive k-NN classifier using symmetric fully homomorphic encryption
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.
Application of Homomorphic Encryption in Machine Learning
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.
State-of-the-Art and Development of Privacy-Enhancing Technologies
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.
Handling security issues by using homomorphic encryption in multi-cloud environment
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.
Exploring the Scope of Machine Learning using Homomorphic Encryption in IoT/Cloud (PhD thesis)
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.
Enhancing privacy in VANETs through homomorphic encryption in machine learning applications
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.
Peer Review Report: Applications of Homomorphic Encryption in Secure Computation
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.
Developing Adaptive Homomorphic Encryption through Exploration of Differential Privacy
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.
Advancing Blockchain Privacy: The Role of Homomorphic Encryption
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.
Artificial Intelligence and Machine Learning: Revolutionizing Supply Chain Security
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.
Secure k-means Clustering using Homomorphic Encryption
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.
GovSecLLM++ SECAI 2026 Artifact Package (dataset)
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.
GovSecLLM++: Compliance-Aware Benchmark for Security Testing and Governance Evidence in LLM-Based Applications
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.
Energy-Efficient Adaptive Zero Trust Security for Automotive CAN Networks
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.
talks
Homomorphic encryption and machine learning: advances and challenges
Mis à jour :
Advances in fully homomorphic encryption: mathematical foundations, recent improvements, implementation results and open challenges for machine learning.
Secure Machine Learning: applying homomorphic encryption in machine learning
Mis à jour :
Introduction to homomorphic encryption, overview of the most promising schemes and tools, and discussion of privacy-preserving machine learning (PPML) models.
Exploring the Scope of Machine Learning using Homomorphic Encryption in IoT/Cloud (PhD pitch)
Mis à jour :
Doctoral presentation during the trusted-AI & cybersecurity day organized by Systematic Paris-Region and Campus Cyber.
How homomorphic encryption revolutionizes machine learning by protecting data
Mis à jour :
Invited talk during the 15th French-speaking Digital Investigation Days, held from September 12 to 14, 2023 by AFSIN and ILCE, on the benefits of homomorphic encryption for cloud data security and privacy-preserving machine learning.
teaching
Advanced cryptography: introduction to homomorphic encryption (2021-2022)
MSc seminar (4h), Cnam Paris, 2021
Fast-track introduction to homomorphic encryption within the advanced cryptography course.
ATER - Université Paris Panthéon-Assas (2023-2024)
Undergraduate (192h), Université Paris Panthéon-Assas, 2023
Teaching and research fellow (ATER): Python programming, VBA programming, databases, office tools.
Adjunct lecturer (2023-2024): Paris Cité, Paris 8, ESILV, Guardia, EPSI
Bachelor / MSc modules, Multiple institutions, 2023
Université Paris Cité: digital forensics & malware analysis, introduction to cryptography (M1). Université Paris 8: smart-card programming (M1). ESILV: information security, applied cryptography, security policies, forensics (B3). Guardia Cyber School: IS & cybersecurity fundamentals, intelligence analysis, web attacks, security & civil liberties, transition to post-quantum cryptography. EPSI: SIEM (M1).
Guest expert - ULB / University of Bamenda MSc in cybersecurity (2024)
MSc modules, Université Libre de Bruxelles - University of Bamenda, 2024
Specialized modules “Computing on Encrypted Data” and “Smart Card Security” within the academic cooperation between ULB and the University of Bamenda.
Cybersecurity courses - Efrei (since 2024)
Engineering cycle / MSc level, Efrei, Paris Panthéon-Assas Université, 2024
Head of the work-study “Networks & Security” major and educational lead of the Airbus cyber range.