3 papers
cs.CR2026
On fair and realistic performance evaluations for graph-based lateral movement detectors
Corentin Larroche
Research on lateral movement detection has made significant progress in recent years, spurred by the widespread availability of benchmark datasets that make evaluating detectors pr…
cs.CR2025
Designing a reliable lateral movement detector using a graph foundation model
Corentin Larroche
Foundation models have recently emerged as a new paradigm in machine learning (ML). These models are pre-trained on large and diverse datasets and can subsequently be applied to va…
cs.CR2023
A source separation approach to temporal graph modelling for computer networks
Corentin Larroche
Detecting malicious activity within an enterprise computer network can be framed as a temporal link prediction task: given a sequence of graphs representing communications between…