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Journal ArticleOPEN ACCESS

DeeDP: vulnerability detection and patching based on deep learning

  • Savchenko A
  • Fokin O
  • Chernousov A
  • et al.
Theoretical and Applied Cybersecurity (2020) 2(1)
DOI: 10.20535/tacs.2664-29132020.1.209465
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Abstract

… Prophet is focused on study of existing valid human patches [12]. It … ) In this article, we used a single RNN which is unidirectional and uses GRU as a recurrent unit. figure …

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APA

Savchenko, A., Fokin, O., Chernousov, A., Sinelnikova, O., & Osadchyi, S. (2020). DeeDP: vulnerability detection and patching based on deep learning. Theoretical and Applied Cybersecurity, 2(1). https://doi.org/10.20535/tacs.2664-29132020.1.209465

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