Adabot: Fault-Tolerant Java Decompiler (Student Abstract)

Authors

  • Zhiming Li China University of Geosciences
  • Qing Wu China University of Geosciences
  • Kun Qian China University of Geosciences

DOI:

https://doi.org/10.1609/aaai.v34i10.7203

Abstract

Reverse Engineering has been an extremely important field in software engineering, it helps us to better understand and analyze the internal architecture and interrealtions of executables. Classical Java reverse engineering task includes disassembly and decompilation. Traditional Abstract Syntax Tree (AST) based disassemblers and decompilers are strictly rule defined and thus highly fault intolerant when bytecode obfuscation were introduced for safety concern. In this work, we view decompilation as a statistical machine translation task and propose a decompilation framework which is fully based on self-attention mechanism. Through better adaption to the linguistic uniqueness of bytecode, our model fully outperforms rule-based models and previous works based on recurrence mechanism.

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Published

2020-04-03

How to Cite

Li, Z., Wu, Q., & Qian, K. (2020). Adabot: Fault-Tolerant Java Decompiler (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 34(10), 13861-13862. https://doi.org/10.1609/aaai.v34i10.7203

Issue

Section

Student Abstract Track