"PELICAN: Exploiting Backdoors of Naturally Trained Deep Learning Models In ..."

Zhuo Zhang et al. (2023)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2023-10-18

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  - electronic edition @ usenix.org (open access)
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  dblp key:
  - conf/uss/0002TSAXLYW023
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  persistent URL:
  - https://dblp.org/rec/conf/uss/0002TSAXLYW023
Zhuo Zhang, Guanhong Tao, Guangyu Shen, Shengwei An, Qiuling Xu, Yingqi Liu, Yapeng Ye, Yaoxuan Wu, Xiangyu Zhang:
PELICAN: Exploiting Backdoors of Naturally Trained Deep Learning Models In Binary Code Analysis. USENIX Security Symposium 2023: 2365-2382

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