Privacy-Preserving Data Sharing: A Comprehensive Literature Review

Privacy-Preserving Data Sharing: A Comprehensive Literature Review Authors: Bita Afsharinia, Anjula Gurtoo, Jyotirmoy Dutta, Minnu Malieckal This report provides an overview of the key concepts and techniques in privacy-preserving data analysis, emphasizing the importance of differential privacy, data anonymization, and data perturbation. The privacy-preserving principles of autonomy, justice, non-maleficence, beneficence, and explicability are critical for maintaining ethical standards in data …

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Data Governance: Some Pertinent Points for Discussion

Data Governance: Some Pertinent Points for Discussion Authors: Anjula Gurtoo, Jyotirmoy Dutta The data governance panel during the 24 November 2023 Symposium on Data for Public Good at the Indian Institute of Science debated pertinent issues in the quest for a pragmatic policy framework for data governance. This document details and collates the views of different stakeholders. Download PDF

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Playbook for Data Quality Management for Geospatial Data

Playbook for Data Quality Management for Geospatial Data Authors: Minnu Malieckal, Anjula Gurtoo, Jyotirmoy Dutta, Linda Theres B, Sandeep P This document is intended as a playbook for the geospatial sector to better understand what is meant by data, its use and how to manage its quality. The playbook details domains and datasets in geospatial sector, types of data, data …

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Policy Framework: Guidelines for Non-Personal Data (NPD) Governance

Policy Framework: Guidelines for Non-Personal Data (NPD) Governance Authors: Anjula Gurtoo, Jyotirmoy Dutta, Minnu Malieckal, Srinivasan R This document elaborates the processes and procedures for each of the governance domains. The report puts forth guidelines for data access, data disclosure norms, data quality and standards, user charges/pricing, usage rights, ethics and fair use of data and data monitoring and security. …

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Building a Privacy Web with SPIDEr – Secure Pipeline for Information De-Identification with End-to-End Encryption

Building a Privacy Web with SPIDEr – Secure Pipeline for Information De-Identification with End-to-End Encryption Authors: N. Chakraborty, A. Tandon, K. Reddy, K. Kirpekar, B. Robert, H. Kumar, A. Venkatesh, A. Sharma Data de-identification makes it possible to glean insights from data while preserving user privacy. The use of Trusted Execution Environments (TEEs) allow for the execution of de-identification applications …

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Optimal Tree-Based Mechanisms for Differentially Private Approximate CDFs

Optimal Tree-Based Mechanisms for Differentially Private Approximate CDFs Authors: V. A. Rameshwar, A. Tandon, and A. Sharma This paper considers the epsilon-differentially private (DP) release of an approximate cumulative distribution function (CDF) of the samples in a dataset. We assume that the true (approximate) CDF is obtained after lumping the data samples into a fixed number K of bins. In …

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Enhancing MOTION2NX for Efficient, Scalable and Secure Image Inference using Convolutional Neural Networks

December 2023 Enhancing MOTION2NX for Efficient, Scalable and Secure Image Inference using Convolutional Neural Networks Authors: H. Kallamadi, R. Burra, S. Mittal, S. Sharma, A. Venkatesh, A. Tandon This work contributes towards the development of an efficient and scalable open-source Secure Multi-Party Computation (SMPC) protocol on machines with moderate computational resources. We use the ABY2.0 SMPC protocol implemented on the …

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Performance Evaluation of Geospatial Images based on Zarr and Tiff

Nov 2024 Performance Evaluation of Geospatial Images based on Zarr and Tiff Authors: Jaheer khan, Swarup E, Rakshit Ramesh This evaluates the performance of geospatial image processing using two distinct data storage formats: Zarr and TIFF. Geospatial images, converted to numerous applications like environmental monitoring, urban planning, and disaster management. Traditional Tagged Image File Format is mostly used because it …

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Cross Pseudo Supervision Framework for Sparsely Labelled Geospatial Images

Aug 2024 Cross Pseudo Supervision Framework for Sparsely Labelled Geospatial Images Authors: Yash Dixit, Naman Srivastava, Joel D Joy, Rohan Olikara, Swarup E, Rakshit Ramesh Land Use Land Cover (LULC) mapping is a vital tool for urban and resource planning, playing a key role in the development of innovative and sustainable cities. This study introduces a semi-supervised segmentation model for …

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An Atmospheric Correction Integrated LULC Segmentation Model for High-Resolution Satellite Imagery

Sep 2024 An Atmospheric Correction Integrated LULC Segmentation Model for High-Resolution Satellite Imagery Authors: Soham Mukherjeea, Yash Dixit, Naman Srivastava, Joel D Joy, Koesha Sinha, Rohan Olikara, Swarup E, Rakshit Ramesh The integration of fine-scale multispectral imagery with deep learning models has revolutionized land use and land cover (LULC) classification. However, the atmospheric effects present in Top-of-Atmosphere sensor measured Digital …

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