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The Data Airlock: infrastructure for restricted data informatics. (arXiv:2203.09006v1 [cs.IR])
March 18, 2022, 1:20 a.m. | Gregory Rolan, Janis Dalins, Campbell Wilson
cs.CR updates on arXiv.org arxiv.org
Data science collaboration is problematic when access to operational data or
models from outside the data-holding organisation is prohibited, for a variety
of legal, security, ethical, or practical reasons. There are significant data
privacy challenges when performing collaborative data science work against such
restricted data. In this paper we describe a range of causes and risks
associated with restricted data along with the social, environmental, data, and
cryptographic measures that may be used to mitigate such issues. We then show …
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