78 citations · 112 across the 10 of their papers we have counts for
3 papers · 1 filter
Data Minimization for GDPR Compliance in Machine Learning Models
Abigail Goldsteen, Gilad Ezov, Ron Shmelkin +2
The EU General Data Protection Regulation (GDPR) mandates the principle of data minimization, which requires that only data necessary to fulfill a certain purpose be collected. How…
Anonymizing Machine Learning Models
Abigail Goldsteen, Gilad Ezov, Ron Shmelkin +2
There is a known tension between the need to analyze personal data to drive business and privacy concerns. Many data protection regulations, including the EU General Data Protectio…
Reducing Risk of Model Inversion Using Privacy-Guided Training
Abigail Goldsteen, Gilad Ezov, Ariel Farkash
Machine learning models often pose a threat to the privacy of individuals whose data is part of the training set. Several recent attacks have been able to infer sensitive informati…