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Home/Authors/Kehuan Zhang

Kehuan Zhang

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Crypto×2ML×1AI×1

Frequent co-authors

Fan Yang2×
Binyan Xu2×
Di Tang2×

Research Timeline

2026
Beyond Nodes vs. Edges: A Multi-View Fusion Framework for Provenance-Based Intrusion Detection

The paper proposes PROVFUSION, a multi-view fusion framework that integrates anomaly signals from attribute, structure, and causality views to overcome the limitations of single node- or edge-centric provenance-based intrusion detection.

Trapping Attacker in Dilemma: Examining Internal Correlations and External Influences of Trigger for Defending GNN Backdoors

The paper proposes PRAETORIAN, a novel defense mechanism for Graph Neural Networks (GNNs) that targets the intrinsic structural requirements of backdoor attacks, significantly reducing the attack success rate while maintaining high clean accuracy.

Highlighted terms show continued research focus across papers

Papers

cs.LGcs.AIcs.CRRecentMay 8, 2026

Trapping Attacker in Dilemma: Examining Internal Correlations and External Influences of Trigger for Defending GNN Backdoors

Fan Yang, Binyan Xu, Di Tang, Kehuan Zhang

The paper proposes PRAETORIAN, a novel defense mechanism for Graph Neural Networks (GNNs) that targets the intrinsic structural requirements of backdoor attacks, significantly reducing the attack succ…

View →
cs.CRRecentApr 16, 2026

Beyond Nodes vs. Edges: A Multi-View Fusion Framework for Provenance-Based Intrusion Detection

Fan Yang, Binyan Xu, Di Tang, Kehuan Zhang

The paper proposes PROVFUSION, a multi-view fusion framework that integrates anomaly signals from attribute, structure, and causality views to overcome the limitations of single node- or edge-centric…

View →