1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2022
Scoring Black-Box Models for Adversarial Robustness
Jian Vora, Pranay Reddy Samala
Deep neural networks are susceptible to adversarial inputs and various methods have been proposed to defend these models against adversarial attacks under different perturbation mo…
cs.LG2021★ 1 cited
Recovery of Joint Probability Distribution from one-way marginals: Low rank Tensors and Random Projections
Jian Vora, Karthik S. Gurumoorthy, Ajit Rajwade
Joint probability mass function (PMF) estimation is a fundamental machine learning problem. The number of free parameters scales exponentially with respect to the number of random…
cs.LG2019
Stochastic Approximation Algorithms for Principal Component Analysis
Jian Vora
Principal Component Analysis is a novel way of of dimensionality reduction. This problem essentially boils down to finding the top k eigen vectors of the data covariance matrix. A…