1 citations · 1 across the 4 of their papers we have counts for
4 papers
Shielding Latent Face Representations From Privacy Attacks
Arjun Ramesh Kaushik, Bharat Chandra Yalavarthi, Arun Ross +2
In today's data-driven analytics landscape, deep learning has become a powerful tool, with latent representations, known as embeddings, playing a central role in several applicatio…
Aligning Characteristic Descriptors with Images for Human-Expert-like Explainability
Bharat Chandra Yalavarthi, Nalini Ratha
In mission-critical domains such as law enforcement and medical diagnosis, the ability to explain and interpret the outputs of deep learning models is crucial for ensuring user tru…
Confidential and Protected Disease Classifier using Fully Homomorphic Encryption
Aditya Malik, Nalini Ratha, Bharat Yalavarthi +3
With the rapid surge in the prevalence of Large Language Models (LLMs), individuals are increasingly turning to conversational AI for initial insights across various domains, inclu…
Enhancing Privacy in Face Analytics Using Fully Homomorphic Encryption
Bharat Yalavarthi, Arjun Ramesh Kaushik, Arun Ross +2
Modern face recognition systems utilize deep neural networks to extract salient features from a face. These features denote embeddings in latent space and are often stored as templ…