7 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.CR2022
Learned-Database Systems Security
Roei Schuster, Jin Peng Zhou, Thorsten Eisenhofer +2
A learned database system uses machine learning (ML) internally to improve performance. We can expect such systems to be vulnerable to some adversarial-ML attacks. Often, the learn…
cs.LG2022★ 7 cited
Verifiable and Provably Secure Machine Unlearning
Thorsten Eisenhofer, Doreen Riepel, Varun Chandrasekaran +3
Machine unlearning aims to remove points from the training dataset of a machine learning model after training: e.g., when a user requests their data to be deleted. While many unlea…