3 citations · 3 across the 3 of their papers we have counts for
4 papers
Privacy-Preserving Data Quality Assessment for Time-Series IoT Sensors
Novoneel Chakraborty, Abhay Sharma, Jyotirmoy Dutta +1
Data from Internet of Things (IoT) sensors has emerged as a key contributor to decision-making processes in various domains. However, the quality of the data is crucial to the effe…
Building a Privacy Web with SPIDEr -- Secure Pipeline for Information De-Identification with End-to-End Encryption
Novoneel Chakraborty, Anshoo Tandon, Kailash Reddy +5
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-i…
Optimal Tree-Based Mechanisms for Differentially Private Approximate CDFs
V. Arvind Rameshwar, Anshoo Tandon, Abhay Sharma
This paper considers the -differentially private (DP) release of an approximate cumulative distribution function (CDF) of the samples in a dataset. We assume that the…
Mean Estimation with User-Level Privacy for Spatio-Temporal IoT Datasets
V. Arvind Rameshwar, Anshoo Tandon, Prajjwal Gupta +3
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…