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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3243473
Abstract: The large amount of sensitive personal information used in deep learning models has attracted considerable attention for privacy security. Sensitive data may be memorialized or encoded into the parameters or the generation of the Wasserstein…
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Keywords:
vector valued;
generation;
bilateral alternative;
privacy ... See more keywords