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"MOTUS: How Quantized Parameters Improve Protection of Model and Its ..."

Hiromasa Kitai et al. (2022)

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DOI: 10.1007/978-3-031-32636-3_11

access: closed

type: Conference or Workshop Paper

metadata version: 2023-06-02

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  dblp key:
  - conf/secitc/KitaiYITC22
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  - https://dblp.org/rec/conf/secitc/KitaiYITC22
Hiromasa Kitai, Naoto Yanai, Kazuki Iwahana, Masataka Tatsumi, Jason Paul Cruz:
MOTUS: How Quantized Parameters Improve Protection of Model and Its Inference Input. SecITC 2022: 184-202

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