3 citations · 3 across the 2 of their papers we have counts for
3 papers
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…
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…
A Survey on Malware Detection with Graph Representation Learning
Tristan Bilot, Nour El Madhoun, Khaldoun Al Agha +1
Malware detection has become a major concern due to the increasing number and complexity of malware. Traditional detection methods based on signatures and heuristics are used for m…