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Author

M. Dinh

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Conference Sep 2026

A reproducible Deep Reinforcement Learning baseline for tourist bus route planning: a case study in Ha Noi

Planning itineraries for urban tourist buses involves a critical trade-off between maximising attraction coverage and strictly adhering to operational constraints. While recent literature has introduced highly complex optimisation models, there remains a notable lack of a transparent, reproducible baseline tailored spe...

Phan Gia Bao Le, S. Moridpour, M. Dinh · 0 citations
Review Open access Aug 2026

CAPS: Compositional Attack Path Scoring for LLM Deployment Stacks

Compositional Attack Path Scoring (CAPS), a framework engineered to quantify end-to-end multi-hop risks in LLM architectures, establishes a rigorous benchmark for quantitative vulnerability management in complex, agentic LLM environments.

Quang-Vinh Dang, Hoang-Viet Vu, Ngoc-Son-An Nguyen et al. · 0 citations

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