collaborators

5 papers

cs.CR2026

On the Optimal Number of Grids for Differentially Private Non-Interactive -Means Clustering

Gokularam Muthukrishnan, Anshoo Tandon

Differentially private -means clustering enables releasing cluster centers derived from a dataset while protecting the privacy of the individuals. Non-interactive clustering tec…

cs.IT2026

Integrating OTFS in Airplane-Aided Next-Generation Networking

Ashok S Kumar, Shashank Shekhar, Gokularam Muthukrishnan +2

Next-generation networks explore the opportunistic assistance of airliner/high-altitude platforms (HAPs) in delivering high data rates for terrestrial networks to ensure consistent…

cs.LG2025

Tuning-Free Online Robust Principal Component Analysis through Implicit Regularization

Lakshmi Jayalal, Gokularam Muthukrishnan, Sheetal Kalyani

The performance of the standard Online Robust Principal Component Analysis (OR-PCA) technique depends on the optimum tuning of the explicit regularizers and this tuning is dataset…

eess.SP2025

Source Enumeration using the Distribution of Angles: A Robust and Parameter-Free Approach

Gokularam Muthukrishnan, Siva Shanmugam, Sheetal Kalyani

Source enumeration, the task of estimating the number of sources from the signal received by the array of antennas, is a critical problem in array signal processing. Numerous metho…

cs.CR2025

Differential Privacy with Higher Utility by Exploiting Coordinate-wise Disparity: Laplace Mechanism Can Beat Gaussian in High Dimensions

Gokularam Muthukrishnan, Sheetal Kalyani

Conventionally, in a differentially private additive noise mechanism, independent and identically distributed (i.i.d.) noise samples are added to each coordinate of the response. I…