Yulliwas Ameur

Yulliwas Ameur

PhD Student
Team: Réseaux et objets connectés
Personal website:
Office: 35.1.49

Ph.D. student on homomorphic security and machine learning Supervisors: Samia Bouzefrane, Vincent Audigier

2026

Journal Articles

  1. Boukhari, R.; Ameur, Y.; Daoui, M. and Banerjee, S. Closing the Timing Gap in the Anonymization Layer: A Dual-Component Timing Side-Channel Countermeasure Against IDBleed. In Cybersecurity, 2026. www 

Book Sections

  1. Ameur, Y. and Kariem, M. Artificial Intelligence and Machine Learning: Revolutionizing Supply Chain Security. In Securing the Digital Supply Chain, 2026. www 
  1. Ameur, Y. and Kraiem, M. Artificial Intelligence and~Machine Learning: Revolutionizing Supply Chain Security. In Securing the Digital Supply Chain, pages 183-201, Springer Nature Switzerland, Signals and Communication Technology , 2026. doi  www 

Conference Articles

  1. Madani, T.; Ameur, Y. and Bouzefrane, S. Knowledge-Graph-Constrained LLM Generation of SIEM Detection Rules. In Workshop on Large Language Models for Security (LLM4Sec), ESORICS 2026, Rome, Italy, 2026. www 
  1. Madani, T.; Ameur, Y. and Bouzefrane, S. Benchmarking Detection Engineering Improvements through Instrumented Adversary Emulation. In International Workshop on Attackers and Cyber-Crime Operations (ANUBIS), ESORICS 2026, Rome, Italy, 2026. www 
  1. Aziz, R.; Ameur, Y.; Audigier, V. and Bouzefrane, S. Secure k-means Clustering using Homomorphic Encryption. In Procedia Computer Science, pages 576-583, Elsevier, Istanbul, Turkey, 2026. doi  www 
  1. Ameur, Y.; Lasledj, I. I. and Banerjee, S. CIGMA: An Evidence-Grounded Cryptographic Inventory Graph for Reproducible Post-Quantum Migration Prioritization. In C&ESAR 2026 - Computer & Electronics Security Applications Rendez-vous (European Cyber Week), Rennes, France, 2026. www 
  1. Kalgi, A.; Kurunathan, H.; Ameur, Y.; Reddy, R. and Bouzefrane, S. Energy-Efficient Adaptive Zero Trust Security for Automotive CAN Networks. In 2026 13th International Conference on Future Internet of Things and Cloud (FiCloud), pages 506-511, IEEE, Granada, France, 2026. doi  www 
  1. Boukhari, R.; Ameur, Y. and Daoui, M. AgentFlowShield: Defending LLM Agents Against Metadata Side Channels. In IEEE/ACS 23rd International Conference on Computer Systems and Applications (AICCSA 2026), Sharjah, United Arab Emirates, 2026. www 
  1. Ameur, Y.; Mendes, M. P.; Bouzefrane, S. and Khoukhi, L. Evaluating Indirect Prompt Injection in RAG Systems: Defense-in-Depth, Retrieval Effects, and Security-Utility Trade-offs. In 25th IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2026), Brisbane, Australia, 2026. www 
  1. Madani, T.; Ameur, Y. and Bouzefrane, S. From Attack Scenario to Measurable Detection Improvement: A Knowledge-Driven ATT&CK/D3FEND Framework for Instrumented Purple Teaming. In C&ESAR 2026 - Computer & Electronics Security Applications Rendez-vous (European Cyber Week), Rennes, France, 2026. www 
  1. Madani, T.; Ameur, Y. and Bouzefrane, S. Context vs. Compute: Self-Hosted Detection Rule Generation with Knowledge-Graph-Augmented Language Models. In CloudCom 2026 - 17th IEEE International Conference on Cloud Computing Technology and Science, Paris, France, 2026. www 
  1. Aoudj, M.; Boukhenoufa, T.; Bouzefrane, S.; Ameur, Y. and Na"it-Zerrad, K. Building a Community-Grounded Spell Checker for the Kabyle Language Using NLP Powered by AI. In 30th Annual Conference of the Foundation for Endangered Languages (FEL XXX 2026), Paris, France, 2026. www 
  1. Ameur, Y.; Lasledj, I. I.; Bouzefrane, S. and Khoukhi, L. GovSecLLM++: A Compliance-Aware Benchmark for Security Testing and Governance Evidence in LLM-Based Applications. In 2nd Workshop on Security and Artificial Intelligence (SecAI), ESORICS 2026, Rome, Italy, 2026. www 
  1. Ameur, Y.; Tanier, D. and Banerjee, S. Measuring the Operational Value of Identity-Driven Micro-Segmentation in Hybrid Environments: A Reproducible Comparison with ACL-Based Segmentation. In C&ESAR 2026 - Computer & Electronics Security Applications Rendez-vous (European Cyber Week), Rennes, France, 2026. www 
  1. Ameur, Y.; Lasledj, I. I. and Bouzefrane, S. PQTrust-Agent: Policy-Compiled Post-Quantum Trust Contracts for Web-of-Agents Communications. In 25th IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2026), Brisbane, Australia, 2026. www 

2025

Book Sections

  1. Ameur, Y.; Taberkane, I. and Bouzefrane, S. Advancing Blockchain Privacy: The Role of Homomorphic Encryption. In Intelligent Cybersecurity and Resilience for Critical Industries: Challenges and Applications, pages 239-267, River Publishers, 2025. doi  www 

2024

Journal Articles

  1. Ameur, Y.; Bouzefrane, S. and Banerjee, S. Developing Adaptive Homomorphic Encryption through Exploration of Differential Privacy. In Journal of Cyber Security and Mobility: 863-886, 2024. doi  www 

Conference Articles

  1. Ameur, Y. and Bouzefrane, S. Enhancing privacy in VANETs through homomorphic encryption in machine learning applications. In Procedia Computer Science. The 15th International Conference on Ambient Systems, Networks and Technologies Networks (ANT) / The 7th International Conference on Emerging Data and Industry 4.0 (EDI40), April 23-25, 2024, Hasselt University, Belgium, pages 151-158, Elsevier, Hasselt, Belgium, 2024. doi  www 

2023

Book Sections

  1. Ameur, Y.; Bouzefrane, S. and Audigier, V. Application of Homomorphic Encryption in Machine Learning. In Emerging Trends in Cybersecurity Applications, pages 391-410, Springer International Publishing, 2023. doi  www 

Conference Articles

  1. Ameur, Y.; Bouzefrane, S. and Le Vinh, T. Handling security issues by using homomorphic encryption in multi-cloud environment. In The 14th International Conference on Ambient Systems, Networks and Technologies (ANT), Leuven, Belgium, 2023. www 

PhD Theses

  1. Ameur, Y. Exploring the Scope of Machine Learning using Homomorphic Encryption in IoT/Cloud. Ph.D. Thesis, HESAM Université, 2023. doi 

Unpublished

  1. Ameur, Y. and Bouzefrane, S. State-of-the-Art and Development of Privacy-Enhancing Technologies. , working paper or preprint. doi  www 

2022

Conference Articles

  1. Ameur, Y.; Aziz, R.; Audigier, V. and Bouzefrane, S. Secure and non-interactive k-NN classifier using symmetric fully homomorphic encryption. In Privacy in Statistical Databases. PSD 2022. Lecture Notes in Computer Science, vol 13463, pages 142-154, Springer International Publishing, Paris, France, Lecture Notes in Computer Science 13463, 2022. doi  www 
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