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Home/Authors/Trung V. Phan

Trung V. Phan

2 indexed papers

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

Publications per year

2
26

Top categories

Crypto×2AI×2ML×1

Frequent co-authors

Thomas Bauschert2×
Tri Gia Nguyen1×

Research Timeline

2026
DeepStage: Learning Autonomous Defense Policies Against Multi-Stage APT Campaigns

DeepStage is a deep reinforcement learning framework that achieves autonomous, stage-aware defense against multi-stage APT campaigns by fusing graph-based telemetry and predicting attacker stages.

DeepXplain: XAI-Guided Autonomous Defense Against Multi-Stage APT Campaigns

DeepXplain introduces an explainable deep reinforcement learning framework that enhances the trustworthiness and effectiveness of autonomous cyber defense against multi-stage APT campaigns by integrating explanation signals directly into the policy optimization.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.AIRecentMar 22, 2026

DeepXplain: XAI-Guided Autonomous Defense Against Multi-Stage APT Campaigns

Trung V. Phan, Thomas Bauschert

DeepXplain introduces an explainable deep reinforcement learning framework that enhances the trustworthiness and effectiveness of autonomous cyber defense against multi-stage APT campaigns by integrat…

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cs.CRcs.AIcs.LGRecentMar 17, 2026

DeepStage: Learning Autonomous Defense Policies Against Multi-Stage APT Campaigns

Trung V. Phan, Tri Gia Nguyen, Thomas Bauschert

DeepStage is a deep reinforcement learning framework that achieves autonomous, stage-aware defense against multi-stage APT campaigns by fusing graph-based telemetry and predicting attacker stages.

View →