Publications

T Bilot, X Han, T Pasquier (2026). Learning Transferable Representations from Operating System Entities via Provenance Graph Distillation. NeurIPS'26.
PDF Project
T Bilot, N El Madhoun, A Zouaoui, K Al Agha, T Pasquier (2026). LARES: Host-centered Lateral Movement Detection via Inductive Graph Reasoning. IEEE ACSAC'26.
PDF Project
T Bilot, B Jiang, T Pasquier (2026). PIDSMaker: Building and Evaluating Provenance-based Intrusion Detection Systems. ACM KDD'26.
PDF Project
D Teguia, L Duval, T Pisenti, K Lazri, D Hagimont, T Pasquier, R Lachaize, A Tchana (2026). Inside Out: A Paradigm Shift In VM Introspection. USENIX OSDI'26.
PDF Project
T Prasad, R Vora, SY Lim, N P Hoang, T Pasquier (2026). Work-in-Progress: RegTrack: Uncovering Global Disparities in Third-party Advertising and Tracking. MADWeb'26.
PDF Project
T Bilot, T Pasquier (2025). Toward Practical and Usable Provenance-based Intrusion Detection Systems. USENIX ;login:.
PDF Project
T Bilot, B Jiang, Z Li, N El Madhoun, K Al Agha, A Zouaoui, T Pasquier (2025). Sometimes Simpler is Better: A Comprehensive Analysis of State-of-the-Art Provenance-Based Intrusion Detection Systems. USENIX Sec'25.
PDF Project
B Jiang, T Bilot, N El Madhoun, K Al Agha, A Zouaoui, S Iqbal, X Han, T Pasquier (2025). ORTHRUS: Achieving High Quality of Attribution in Provenance-based Intrusion Detection Systems. USENIX Sec'25.
PDF Project
T Abrar, A Shamail, M J Iqbal, A Ahmed, M Abdullah, M Shayan, F Zaffar, T Pasquier, D Eyers, A Gehani (2025). On the Reproducibility of Provenance-based Intrusion Detection that uses Deep Learning. ACM REP'25.
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SY Lim, T Prasad, X Han, T Pasquier (2024). SafeBPF: Hardware-assisted Defense-in-depth for eBPF Kernel Extensions. ACM CCSW'24.
PDF Project