10 citations · 13 across the 3 of their papers we have counts for
3 papers
Revisiting Fully Homomorphic Encryption Schemes
Nimish Jain, Aswani Kumar Cherukuri
Homomorphic encryption is a sophisticated encryption technique that allows computations on encrypted data to be done without the requirement for decryption. This trait makes homomo…
Synthetic Data for Feature Selection
Firuz Kamalov, Hana Sulieman, Aswani Kumar Cherukuri
Feature selection is an important and active field of research in machine learning and data science. Our goal in this paper is to propose a collection of synthetic datasets that ca…
Machine learning applications for COVID-19: A state-of-the-art review
Firuz Kamalov, Aswani Cherukuri, Hana Sulieman +2
The COVID-19 pandemic has galvanized the machine learning community to create new solutions that can help in the fight against the virus. The body of literature related to applicat…