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Preprint Sep 2026

When Ambiguity Meets Atypicality: Dual-Perspective Test Input Prioritization for DNNs

While Deep Neural Networks (DNNs) have achieved remarkable progress in cutting-edge domains, their inherent brittleness has become a growing concern. To ensure the reliability and safety of DNN-enabled software, DNN testing has emerged as an indispensable practice. Within this context, test input prioritization is esse...

Hao-Ran Li, Shi-Hai Wang, Bin Liu et al. · 0 citations
Conference Aug 2026

A GNN-based vulnerability explanation method with learnable edge-type weights

With the in-depth advancement of hardware-software integration in smart cities and industrial systems, cybersecurity vulnerability threats have become increasingly severe. Graph Neural Network (GNN)-based vulnerability detection technologies have been widely adopted due to their efficient modeling capabilities for code...

Yu Liu, Bin Liu, Shihai Wang et al. · 0 citations

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