"Adversarial Examples Can Be Effective Data Augmentation for Unsupervised ..."

Chia-Yi Hsu et al. (2022)

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DOI: 10.1609/AAAI.V36I6.20650

access: open

type: Conference or Workshop Paper

metadata version: 2023-09-04

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  dblp key:
  - conf/aaai/HsuCLLY22
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  - https://dblp.org/rec/conf/aaai/HsuCLLY22
Chia-Yi Hsu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Chia-Mu Yu:
Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning. AAAI 2022: 6926-6934

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