Author

Yu-Fei Han

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Conference Open access 2026

Robustness Evaluation of Graph Neural Network-Based Network Intrusion Detection Systems against Adversarial Flow Injection

A query-based black-box flow injection attack against GNN-based NIDS, where adversaries inject crafted traffic flows into existing communications to evade detection, is proposed.

Matthieu Mouzaoui, Yu-Fei Han, Gregory Blanc et al. · International Conference on... · 0 citations

Conference Open access 2026

Graph2TTP: Knowledge Graph-Guided Paragraph-Level TTPs Identification from Cyber Threat Intelligence Reports

Graph2TTP is proposed, a novel neural-symbolic framework for automated, paragraph-level Tactic, Technique and Procedure (TTP) identification that outperforms state-of-the-art neural baselines and establishes a robust new standard for accurate and interpretable threat intelligence analysis.

Patrick Zounon, Yu-Fei Han, Michel Hurfin et al. · International Conference on... · 0 citations

Preprint Aug 2026

BackDFL: A Unified Benchmark For Backdoor Attacks and Defenses In Decentralized Federated Learning

BackDFL is presented, a unified benchmark for systematically evaluating DFL under realistic and adaptive backdoor attacks, and demonstrates that both state-of-the-art Byzantine-robust DFL methods and adapted FL backdoor defenses fail under modest malicious participation rates, especially in heterogeneous settings.

M. Bouchiha, Gregory Blanc, Yu-Fei Han · 0 citations