Continual Mean Estimation Under User-Level Privacy
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CDPG
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January 9, 2025
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Data Privacy
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December 2022 Continual Mean Estimation Under User-Level Privacy Authors: A. J. George, L. Ramesh, A. V. Singh and H. Tyagi We consider the problem of continually releasing an estimate of the population mean of a stream of samples that is user-level differentially private (DP). At each time instant, a user contributes a sample, and the users can arrive in arbitrary …
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User-Level Differentially Private Mean Estimation for Real-World Datasets
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CDPG
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January 9, 2025
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Data Privacy
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User-Level Differentially Private Mean Estimation for Real-World Datasets Authors: V. A. Rameshwar, A. Tandon, and A. Sharma In this work, we provide rigorous theoretical justifications for the performance trends of well-known clipping-based algorithms on real-world ITMS and i.i.d. synthetic datasets. An important contribution of this work is the formalization and explicit computation of the “worst-case estimation error” incurred by a …
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Empowering SMPC: Bridging the Gap Between Scalability, Memory Efficiency and Privacy in Neural Network Inference
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CDPG
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January 9, 2025
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Data Privacy
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Jan 2024 Empowering SMPC: Bridging the Gap Between Scalability, Memory Efficiency and Privacy in Neural Network Inference Authors: R. Burra, A. Tandon and S. Mittal This paper aims to develop an efficient open-source Secure Multi-Party Computation (SMPC) repository, that addresses the issue of practical and scalable implementation of SMPC protocol on machines with moderate computational resources while aiming to reduce …
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Mean Estimation with User-Level Privacy for Spatio-Temporal IoT Datasets
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CDPG
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January 9, 2025
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Data Privacy
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April 2024 Mean Estimation with User-Level Privacy for Spatio-Temporal IoT Datasets Authors: P. Gupta, V. A. Rameshwar, A. Tandon and N. Chakraborty This paper considers the problem of the private release of sample means of speed values from traffic datasets. Our key contribution is the development of user-level differentially private algorithms that incorporate carefully chosen parameter values to ensure low …
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A New Era of Data for Public Good: CDPG 2024 Symposium Highlights and Future Directions
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CDPG
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January 7, 2025
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Blog
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The Symposium on Data for Public Good 2024 was a resounding success, bringing together thought leaders, practitioners, and innovators from across the globe to explore the transformative potential of data in addressing societal challenges. Held in JN Tata Auditorium, in IISc, on September 19-20, the symposium served as a vibrant platform for knowledge sharing, networking, and collaboration. Imagine a room …
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ADeX Powers New Era of Smart Agri-Credit Services
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CDPG
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December 11, 2024
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Media Releases
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Hyderabad/Bangalore: The Centre for Data for Public Good (CDPG), FSID, Indian Institute of Science, Bengaluru, is pleased to announce the beginning of a new era of smart agri-credit services with the launch of the Smart Agri-Credit Services initiative by the Government of Telangana in collaboration with the HDFC Bank. Powered by the Agricultural Data Exchange (ADeX), this transformative initiative is …
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IISc’s FSID Launches Centre of Data for Public Good with a first-of-a-kind Symposium
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CDPG
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November 24, 2024
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Updates
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Bangalore, November 24: In an initiative aimed at leveraging data for social good, the Foundation for Science Innovation and Development (FSID) within the Indian Institute of Science (IISc) announces the launch of the Centre of Data for Public Good (CDPG). The Centre is dedicated to advancing research, innovation, collaboration, and best practices in the realm of data science, analytics, and …
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Symposium on Data for Public Good 2024 – 2nd edition concludes with a power-packed display of data-driven ideas and innovations for societal transformation
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CDPG
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September 26, 2024
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Media Releases
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Bengaluru, India – Sep 26, 2024: The Centre of Data for Public Good (CDPG) at Foundation for Science, Innovation and Development, Indian Institute of Science (IISc) recently hosted the highly anticipated second edition of the Symposium on Data for Public Good in Bengaluru from 19-20th September 2024. The event shone a spotlight on data’s transformative power to address societal challenges …
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Winners Announced for the 2024 ‘Bengaluru Mobility Challenge -2024’
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CDPG
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September 26, 2024
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Media Releases
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Bengaluru, India –September 26, 2024: The highly anticipated 2024 Bengaluru Mobility Challenge concluded successfully at the Symposium on Data for Public Good, 2nd Edition, with innovative teams from across the country showcasing data-driven solutions to improve urban mobility in Bengaluru. The two-phase competition was organised jointly by Bengaluru Traffic Police (BTP) and Centre of Data for Public Good (CDPG), …
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Land Use/Land Cover(LULC) Classification with Semi-Supervised Learning
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CDPG
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July 25, 2024
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Blog
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INTRODUCTION Land Use Land Cover (LULC) classification is a vital process in remote sensing and geographic information systems. It categorizes Earth’s surface based on physical cover (e.g., forests, water, buildings) and human usage (e.g., agriculture, urban development, conservation). For instance, an area may have a land cover of ‘grass’ with a land use of ‘park’ or ‘golf course’. This classification, …
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