BinAug: Enhancing Binary Similarity Analysis with Low-Cost Input Repairing

Wai Kin Wong, Huaijin Wang, Zongjie Li, Shuai Wang

Abstract

Binary code similarity analysis (BCSA) is a fundamental building block for various software security, reverse engineering, and re-engineering applications. Existing research has applied deep neural networks (DNNs) to measure the similarity between binary code, following the major breakthrough of DNNs in processing media data like images. Despite the encouraging results of DNN-based BCSA, it is however not widely deployed in the industry due to the instability and the black-box nature of DNNs.

BibTeX

@inproceedings{Wong-al:ICSE24,
  author    = {Wai Kin Wong and
               Huaijin Wang and
               Zongjie Li and
               Shuai Wang},
  title     = {{BinAug:} Enhancing Binary Similarity Analysis with {Low-Cost} Input Repairing},
  booktitle = {ICSE},
  pages     = {7:1--7:13},
  publisher = {{ACM}},
  year      = {2024},
}

BinAug: Enhancing Binary Similarity Analysis with Low-Cost Input Repairing

Abstract

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