1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CR2025
SONNI: Secure Oblivious Neural Network Inference
Luke Sperling, Sandeep S. Kulkarni
In the standard privacy-preserving Machine learning as-a-service (MLaaS) model, the client encrypts data using homomorphic encryption and uploads it to a server for computation. Th…
cs.CR2023★ 1 cited
Privacy-Preserving Methods for Outlier-Resistant Average Consensus and Shallow Ranked Vote Leader Election
Luke Sperling, Sandeep S Kulkarni
Consensus and leader election are fundamental problems in distributed systems. Consensus is the problem in which all processes in a distributed computation must agree on some value…
cs.CV2022
HEFT: Homomorphically Encrypted Fusion of Biometric Templates
Luke Sperling, Nalini Ratha, Arun Ross +1
This paper proposes a non-interactive end-to-end solution for secure fusion and matching of biometric templates using fully homomorphic encryption (FHE). Given a pair of encrypted…