Associate ProfessorEtienne Borde

AI-driven Cyber Threat Intelligence

AI-Driven Document Insights for Anti-Money Laundry Compliance

AI-Driven Workflow Insights for Anti-Money Laundry Compliance

An Investigation of Multi-Agent Reinforcement Learning Deployment Strategies in Large Scale Networks

Closing the Loop: Human-Informed Training of Reinforcement Learning Cyber Defense Agents

Cybersecurity Training with Gamification and Adversary Emulation

Exploring the Usability of Large Language Models for Attacker Attribution

Improving Software Security Testing with Large Language Models

Tello Drone Protocol Manipulation with Reinforcement Learning

AI Models Comparison for Luminaire Identification

Attacker Attribution using Honeypot Data

Learning a Moving Target Defense policy by reinforcement: time to build the gym!

Multi-Agent Simulation and Reinforcement Learning to Optimize Moving Target Defense

Unveiling Attacks through Honeypot Solutions

Multi-Agent System Verification for the Identification of Attackers Capacities in Honeypots

Reasoning about Moving Target Defense in Attack Modeling Formalisms

Configuration and timing analysis of multi-hop avionics networks

Dynamic Defenses for Improved Resilience of Connected Cars

Deployment of Real-time, Mixed Criticality, and Data Driven Applications on Multi-core Architectures

Model transformation and code generation for Ada in RAMSES

Multi-objective Architecture Optimization by Composition of Model Transformations

Periodic-Delayed Protocol for Inter-process Communication in Partitioned Systems

Qualification of Source Code Generators in the Avionics Domain: Automated Testing of Model Transformation Chains