arXiv · 2505.01536
Disassembly as Weighted Interval Scheduling with Learned Weights
Abstract
Disassembly is the first step of a variety of binary analysis and transformation techniques, such as reverse engineering, or binary rewriting. Recent disassembly approaches consist of three phases: an exploration phase, that overapproximates the binary's code; an analysis phase, that assigns weights to candidate instructions or basic blocks; and a conflict resolution phase, that downselects the final set of instructions. We present a disassembly algorithm that generalizes this pattern for a wide range of architectures, namely x86, x64, arm32, and aarch64. Our algorithm presents a novel conflict resolution method that reduces disassembly to weighted interval scheduling.
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Antonio Flores-Montoya, Junghee Lim, Adam Seitz, Akshay Sood, Edward Raff, James Holt. 2025-05-02. Disassembly as Weighted Interval Scheduling with Learned Weights. https://arxiv.org/abs/2505.01536
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