25 citations · 34 across the 3 of their papers we have counts for
3 papers
Scalable privacy-preserving cancer type prediction with homomorphic encryption
Esha Sarkar, Eduardo Chielle, Gamze Gursoy +3
Machine Learning (ML) alleviates the challenges of high-dimensional data analysis and improves decision making in critical applications like healthcare. Effective cancer type from…
Accelerating Fully Homomorphic Encryption by Bridging Modular and Bit-Level Arithmetic
Eduardo Chielle, Oleg Mazonka, Homer Gamil +1
The dramatic increase of data breaches in modern computing platforms has emphasized that access control is not sufficient to protect sensitive user data. Recent advances in cryptog…
CoFHEE: A Co-processor for Fully Homomorphic Encryption Execution (Extended Version)
Mohammed Nabeel, Homer Gamil, Deepraj Soni +6
The migration of computation to the cloud has raised concerns regarding the security and privacy of sensitive data, as their need to be decrypted before processing, renders them su…