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Redactor: A Data-centric and Individualized Defense Against Inference Attacks. (arXiv:2202.02902v2 [cs.LG] UPDATED)
Dec. 2, 2022, 2:10 a.m. | Geon Heo, Steven Euijong Whang
cs.CR updates on arXiv.org arxiv.org
Information leakage is becoming a critical problem as various information
becomes publicly available by mistake, and machine learning models train on
that data to provide services. As a result, one's private information could
easily be memorized by such trained models. Unfortunately, deleting information
is out of the question as the data is already exposed to the Web or third-party
platforms. Moreover, we cannot necessarily control the labeling process and the
model trainings by other parties either. In this setting, we …
More from arxiv.org / cs.CR updates on arXiv.org
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