68 citations · 162 across the 11 of their papers we have counts for
3 papers · 1 filter
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…
Understanding Transformer Memorization Recall Through Idioms
Adi Haviv, Ido Cohen, Jacob Gidron +3
To produce accurate predictions, language models (LMs) must balance between generalization and memorization. Yet, little is known about the mechanism by which transformer LMs emplo…
In Differential Privacy, There is Truth: On Vote Leakage in Ensemble Private Learning
Jiaqi Wang, Roei Schuster, Ilia Shumailov +2
When learning from sensitive data, care must be taken to ensure that training algorithms address privacy concerns. The canonical Private Aggregation of Teacher Ensembles, or PATE,…