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 […]
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 […]
December 2023 A Contributory Public-Event Recording and Querying System Authors: Arun Joseph, Nikita Yadav, Vinod Ganapathy, Dushyant Behl CCTV (Closed-Circuit Television) systems are commonly used for security and surveillance. They provide a visual record of events, which can be used to monitor criminal activity, support investigations, and improve public safety. Many cities have implemented a […]
December 2024 Integrating Crypto-Based Payment Systems for Data Marketplaces: Enhancing Efficiency, Security, and User Autonomy Authors: V. Walunj, V. Rajaraman, J. Dutta, A. Sharma Data exchanges as Digital Public Infrastructures drive data-driven economies by enhancing efficiency, enabling revenue streams, and facilitating data monetization. This work explores integrating crypto-based payments into platforms like IUDX and ADeX, […]
June 2024 What makes consent meaningful? Authors: Asilata This paper seeks to examine the concept of meaningfulness of consent with a focus on consent in digital transactions. To that end, it proposes a “consent matrix”, depicting the structure of consent transactions across two dimensions- the realm of consent-objects and the modes of obtaining consent. The […]
Jan 2024 Consent Service Architecture for Policy-Based Consent Management in Data Trusts Authors: Balambiga, Rohith, Srinath, Santosh, Srinivas Data trusts handle data in a fiduciary capacity for data owners, allowing them to process, aggregate and share data with other stakeholders within an overarching legal and ethical framework. One of the primary challenges of data trusts […]
Sep 2023 Extensible Consent Management Architectures for Data Trusts Authors: Balambiga, Srinath, Rohith, Jayati Sensitive personal information of individuals and non-personal information of organizations or communities often needs to be legitimately exchanged among different stakeholders, to provide services, maintain public health, law and order, and so on. While such exchanges are necessary, they also impose […]
December 2024 Graphiti: Secure Graph Computation Made More Scalable Authors: Koti, N., Kukkala, V. B., Patra, A., & Raj Gopal, B. Privacy-preserving graph analysis allows performing computations on graphs that store sensitive information, while ensuring all the information about the topology of the graph as well as data associated with the nodes and edges remains […]
March 2023 Ruffle: Rapid 3-party shuffle protocols Authors: Koti, N., Kukkala, V. B., Patra, A., Gopal, B. R., & Sangal, S Secure shuffle is an important primitive that finds use in several applications such as secure electronic voting, oblivious RAMs, secure sorting, to name a few. For time-sensitive shuffle-based applications that demand a fast response […]
October 2023 Vogue: Faster computation of private heavy hitters Authors: Jangir, P., Koti, N., Kukkala, V. B., Patra, A., Gopal, B. R., & Sangal, S Consider the problem of securely identifying τ -heavy hitters, where given a set of client inputs, the goal is to identify those inputs which are held by at least τ […]