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Shi-Nan Liu

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#cybersecurity Review Open access Feb 2025

Towards On-Device Evidence Gathering for Intimate Partner Infiltration: A Feasibility Study for Joint Identity-Action Detection

AID, Automated IPI Detection, a data-driven system that continuously logs unauthorized access and suspicious behaviors on smartphones is presented, demonstrating AID's potential as an evidence-support tool that complements current clinic-based interpretation and safety-planning.

Wei-Si Yang, Shi-Nan Liu, Feng Xiao et al. · 2 citations
#small language model Review Sep 2026

A SoK for SoCs: Reading the TI Leaves on AI for Cyber Threat Intelligence Generation and Sharing

Three research directions for automating the production of shareable intelligence are derived from a literature survey of academic papers, organizing the CTI lifecycle into three stages: Threat Data Collection, CTI Generation and Sharing, and CTI Consumption.

Saastha Vasan, Hadjer Benkraouda, Jizhou Chen et al. · 0 citations
Book Open access Aug 2026

POSTER: DeePCAP: Enabling High-Fidelity and Cost-Efficient Archival Packet Trace Storage

DeePCAP introduces a query-driven fidelity framework spanning packet- and flow-level queries to tackle the fidelity disconnection, and proposes a novel dimensionality reduction approach using frequency domain encoding to improve cost-fidelity trade-off.

Fenghao Dong, Yucheng Yin, Yajie Zhou et al. · 0 citations
Jul 2026

TabQueryBench: A Query-Centric Benchmark for Synthetic Tabular Data

TabQueryBench is a query-centric benchmark that uses SQL-shaped analytical queries as structural assessors for synthetic data fidelity, and provides an extensible foundation for query-centric synthetic-data evaluation.

Jialin Zhang, Fenghao Dong, Yajie Zhou et al. · 0 citations

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