Laboratoire d'Informatique

Domaines scientifiques déclarés au RNSR

Mots-clés des publications HAL repérées

Publications HAL récentes repérées

• RemoteLabz: A Platform to Teach Computer Science and Security · 2026

  Résumé de la publication : Over the past decade, a wide range of tools have been employed in the practical teaching of information technology, particularly in the area of programming, system and network administration and cybersecurity. Most existing tools were initially developed for professional experimentation and research,…

• A Distributed Fault-tolerant Algorithm for Road Junction Management · 2025

  Résumé de la publication : In the near future, autonomous vehicles are expected to become a common sight on our roads. To facilitate their smooth integration, smart infrastructures should be in place to assist and support their operations. This transition poses various challenges that must be addressed…

• Exploring Multi-Channel GPS Receivers for Detecting Spoofing Attacks on UAVs Using Machine Learning · 2025

  Résumé de la publication : All current transportation systems (vehicles, trucks, planes, etc.) rely on the Global Positioning System (GPS) as their main navigation technology. GPS receivers collect signals from multiple satellites and are able to provide more or less accurate positioning. For civilian applications, GPS signals…

• Explain-Delete-Defend: Attribution-Guided Token Excision for LLM Safety · 2025

  Résumé de la publication : Large language models (LLMs) remain vulnerable to adversarial prompting, yet state-of-the-art certified defenses such as Erase-and-Check (EC) are too slow for real-time use because they must re-evaluate hundreds of prompt variants. We investigate whether a single, attribution-guided deletion can approximate EC’s robustness…

• Drone-Assisted Plant Stress Detection Using Deep Learning: A Comparative Study of YOLOv8, RetinaNet, and Faster R-CNN · 2025

  Résumé de la publication : Drones have been widely used in precision agriculture to capture high-resolution images of crops, providing farmers with advanced insights into crop health, growth patterns, nutrient deficiencies, and pest infestations. Although several machine and deep learning models have been proposed for plant stress…