PDaSP Track 2: Explainable Auditing of ML Models for Privacy Violations
Description preview
The growing use of artificial intelligence in healthcare and medical research has created a difficult challenge: researchers need to share their computer models to advance scientific discovery, but these models can reveal private information about the patients whose data was used to create them. Organizations are often reluctant to share their…
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