Multi-modal Learning for WebAssembly Reverse Engineering

arXiv:2404.03171v1 Announce Type: cross
Abstract: The increasing adoption of WebAssembly (Wasm) for performance-critical and security-sensitive tasks drives the demand for WebAssembly program comprehension and reverse engineering. Recent studies have introduced machine learning (ML)-based WebAssembly reverse engineering tools. Yet, the generalization of task-specific ML solutions remains challenging, because their effectiveness hinges on the availability of an ample supply of high-quality task-specific labeled data. Moreover, previous works overlook the high-level semantics present in source code and its documentation. Acknowledging the abundance of …

abstract adoption arxiv availability cs.lg cs.pl cs.se demand engineering machine machine learning modal multi-modal performance security solutions studies tasks tools type wasm webassembly