18 citations · 40 across the 7 of their papers we have counts for
7 papers
DNS-GT: A Graph-based Transformer Approach to Learn Embeddings of Domain Names from DNS Queries
Massimiliano Altieri, Ronan Hamon, Roberto Corizzo +2
Network intrusion detection systems play a crucial role in the security strategy employed by organisations to detect and prevent cyberattacks. Such systems usually combine pattern…
Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness
David Fernández Llorca, Ronan Hamon, Henrik Junklewitz +9
This study explores the complexities of integrating Artificial Intelligence (AI) into Autonomous Vehicles (AVs), examining the challenges introduced by AI components and the impact…
Liability regimes in the age of AI: a use-case driven analysis of the burden of proof
David Fernández Llorca, Vicky Charisi, Ronan Hamon +2
New emerging technologies powered by Artificial Intelligence (AI) have the potential to disruptively transform our societies for the better. In particular, data-driven learning app…
Duality between Temporal Networks and Signals: Extraction of the Temporal Network Structures
Ronan Hamon, Pierre Borgnat, Patrick Flandrin +1
We develop a framework to track the structure of temporal networks with a signal processing approach. The method is based on the duality between networks and signals using a multid…
From graphs to signals and back: Identification of network structures using spectral analysis
Ronan Hamon, Pierre Borgnat, Patrick Flandrin +1
Many systems comprising entities in interactions can be represented as graphs, whose structure gives significant insights about how these systems work. Network theory has undergone…
Discovering the structure of complex networks by minimizing cyclic bandwidth sum
Ronan Hamon, Pierre Borgnat, Patrick Flandrin +1
Getting a labeling of vertices close to the structure of the graph has been proved to be of interest in many applications e.g., to follow smooth signals indexed by the vertices of…
Foundations of Swarm Intelligence: From Principles to Practice
Mark Fleischer
Swarm Intelligence (SI) is a relatively new paradigm being applied in a host of research settings to improve the management and control of large numbers of interacting entities suc…