88 citations · 212 across the 10 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.CR2020★ 15 cited
BLAZE: Blazing Fast Privacy-Preserving Machine Learning
Arpita Patra, Ajith Suresh
Machine learning tools have illustrated their potential in many significant sectors such as healthcare and finance, to aide in deriving useful inferences. The sensitive and confide…
cs.CR2020★ 36 cited
SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning
Nishat Koti, Mahak Pancholi, Arpita Patra +1
Performing machine learning (ML) computation on private data while maintaining data privacy, aka Privacy-preserving Machine Learning~(PPML), is an emergent field of research. Recen…