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cs.CR2026
Beyond Tokens: NumAnchor for Address-Grounded Numeric Operand Representation in Assembly Language Models
Kun Liu, Keith Mitchell, Xin Hu +5
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 ope…
cs.CR2026
Long-Range Indirect Control-Flow Prediction in Stripped Binaries via Dual Virtual Hubs and Multi-Task Graph Learning
Kun Liu, Zhengming Ding, Chenke Luo +4
Recovering indirect control-flow (ICF) edges is fundamental to binary security analysis, yet existing methods struggle with long-range dependencies, isolate different ICF types, an…