3 papers
cs.LG2020
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…
cs.CR2019
Forgotten @ Scale: A Practical Solution for Implementing the Right To Be Forgotten in Large-Scale Systems
Abigail Goldsteen, Tomer Douek, Yaniv Cohen +5
The European General Data Protection Regulation asserts data subjects' right to be forgotten, i.e., their right to request that all their personal data be deleted from an organizat…
cs.CR2015
Proceedings of the Ninth Workshop on Web 2.0 Security and Privacy (W2SP) 2015
Abigail Goldsteen, Tyrone Grandison, Mike Just +3
This is the Proceedings of the Ninth Workshop on Web 2.0 Security and Privacy (W2SP) 2015, held in San Jose, CA, USA, on May 21, 2015. The workshop was held as part of the IEEE Com…