10 citations · 23 across the 6 of their papers we have counts for
6 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…
Global Pandemics Influence on Cyber Security and Cyber Crimes
Somya Khatri, Aswani Kumar Cherukuri, Firuz Kamalov
COVID-19 has caused widespread damage across many areas of life and has made humans more dependent on the internet and technology making us realize the importance of secure remote…
e-Inu: Simulating A Quadruped Robot With Emotional Sentience
Abhiruph Chakravarty, Jatin Karthik Tripathy, Sibi Chakkaravarthy S +4
Quadruped robots are currently used in industrial robotics as mechanical aid to automate several routine tasks. However, presently, the usage of such a robot in a domestic setting…
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…
EfficientWord-Net: An Open Source Hotword Detection Engine based on One-shot Learning
Chidhambararajan R, Aman Rangapur, Sibi Chakkaravarthy Sethuraman
Voice assistants like Siri, Google Assistant, Alexa etc. are used widely across the globe for home automation, these require the use of special phrases also known as hotwords to wa…
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…