2 papers
cs.CR2026
PIDSMaker: Building and Evaluating Provenance-based Intrusion Detection Systems
Tristan Bilot, Baoxiang Jiang, Thomas Pasquier
Recent provenance-based intrusion detection systems (PIDSs) have demonstrated strong potential for detecting advanced persistent threats (APTs) by applying machine learning to syst…
cs.LG2025
Few Edges Are Enough: Few-Shot Network Attack Detection with Graph Neural Networks
Tristan Bilot, Nour El Madhoun, Khaldoun Al Agha +1
Detecting cyberattacks using Graph Neural Networks (GNNs) has seen promising results recently. Most of the state-of-the-art models that leverage these techniques require labeled ex…