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Description
🚀 Feature
Floating-point Vulnerability Protection.
Motivation
Prevent exploiting vulnerabilities that could lead to privacy leakage.
There is no documentation that states the use of floating-point vulnerability protection as in https://scholar.google.com/citations?view_op=view_citation&hl=en&user=hg3A9TgAAAAJ&citation_for_view=hg3A9TgAAAAJ:dhFuZR0502QC
and
https://research.ibm.com/publications/secure-random-sampling-in-differential-privacy
Pitch
Additional code should be added to cover such vulnerability.
Alternatives
Sample from discrete distributions.
Additional context
Other libraries like IBM's diffpriblib accounts for this, and they also enable ML.
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