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FuncFooler: A Practical Black-box Attack Against Learning-based Binary Code Similarity Detection Methods. (arXiv:2208.14191v1 [cs.CR])
Aug. 31, 2022, 1:20 a.m. | Lichen Jia, Bowen Tang, Chenggang Wu, Zhe Wang, Zihan Jiang, Yuanming Lai, Yan Kang, Ning Liu, Jingfeng Zhang
cs.CR updates on arXiv.org arxiv.org
The binary code similarity detection (BCSD) method measures the similarity of
two binary executable codes. Recently, the learning-based BCSD methods have
achieved great success, outperforming traditional BCSD in detection accuracy
and efficiency. However, the existing studies are rather sparse on the
adversarial vulnerability of the learning-based BCSD methods, which cause
hazards in security-related applications. To evaluate the adversarial
robustness, this paper designs an efficient and black-box adversarial code
generation algorithm, namely, FuncFooler. FuncFooler constrains the adversarial
codes 1) to keep …
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