175 citations · 413 across the 14 of their papers we have counts for
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cs.CR2021★ 25 cited
Does Fully Homomorphic Encryption Need Compute Acceleration?
Leo de Castro, Rashmi Agrawal, Rabia Yazicigil +4
Fully Homomorphic Encryption (FHE) allows arbitrarily complex computations on encrypted data without ever needing to decrypt it, thus enabling us to maintain data privacy on third-…
cs.CR2021
Leaky Nets: Recovering Embedded Neural Network Models and Inputs through Simple Power and Timing Side-Channels -- Attacks and Defenses
Saurav Maji, Utsav Banerjee, Anantha P. Chandrakasan
With the recent advancements in machine learning theory, many commercial embedded micro-processors use neural network models for a variety of signal processing applications. Howeve…