Author

Chen-Ke Luo

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Preprint Oct 2026

Beyond Tokens: NumAnchor for Address-Grounded Numeric Operand Representation in Assembly Language Models

Assembly language models (ALMs) are becoming important for automated binary analysis, yet their token-level interfaces often obscure numeric-like operands. In two corpora, such operands account for 45.7% and 40.9% of operand occurrences and may denote branch targets, global data, stack slots, constants, or unresolved p...

Kun Liu, Keith Mitchell, Xin Hu et al. · 0 citations

Preprint Sep 2026

Long-Range Indirect Control-Flow Prediction in Stripped Binaries via Dual Virtual Hubs and Multi-Task Graph Learning

Recovering indirect control-flow (ICF) edges is fundamental to binary security analysis, yet existing methods struggle with long-range dependencies, isolate different ICF types, and are often evaluated under protocols vulnerable to label noise and data leakage. We present ICFlowNet, a unified framework for long-range I...

Kun Liu, Zheng-Ming Ding, Chen-Ke Luo et al. · 0 citations