no code implementations • 13 Aug 2024 • Anantha Sharma, Ajinkya Deshmukh
With the increasing demand for data sharing across platforms and organizations, ensuring the privacy and security of sensitive information has become a critical challenge.
no code implementations • 18 Jul 2023 • Fatemeh Rezapoor Nikroo, Ajinkya Deshmukh, Anantha Sharma, Adrian Tam, Kaarthik Kumar, Cleo Norris, Aditya Dangi
In this study, we evaluate the performance of multiple state-of-the-art SRGAN (Super Resolution Generative Adversarial Network) models, ESRGAN, Real-ESRGAN and EDSR, on a benchmark dataset of real-world images which undergo degradation using a pipeline.
no code implementations • 16 May 2023 • Ajinkya Deshmukh, Saumya Banthia, Anantha Sharma
We show that our approach can effectively reduce utility loss while preserving the original information, offering greater flexibility in the trade-off between privacy protection and data utility.
no code implementations • 24 Jun 2021 • Tabish Maniar, Alekhya Akkinepally, Anantha Sharma
Our interest is a pragmatic implementation in an operational environment, which necessitates a general purpose differentially private modeling framework, and we evaluate one such tool from LeapYear as applied to the Credit Risk modeling domain.
no code implementations • 19 May 2021 • Saumya Banthia, Anantha Sharma, Ravi Mangipudi
Computer aided Tabular Data Extraction has always been a very challenging and error prone task because it demands both Spectral and Spatial Sanity of data.
no code implementations • 26 Sep 2020 • Chejui Liao, Tabish Maniar, Sravanajyothi N, Anantha Sharma
This paper discusses the effectiveness of various text processing techniques, their combinations, and encodings to achieve a reduction of complexity and size in a given text corpus.
no code implementations • 10 Sep 2020 • Saumya Banthia, Anantha Sharma
This document describes a possible approach that can be used to check the relevance of a summary / definition of an entity with respect to its name.