2 citations · 2 across the 11 of their papers we have counts for
5 papers · 1 filter
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…
Information Rates Over Multi-View Channels
V. Arvind Rameshwar, Nir Weinberger
We investigate the fundamental limits of reliable communication over multi-view channels, in which the channel output is comprised of a large number of independent noisy views of a…
On Improving the Composition Privacy Loss in Differential Privacy for Fixed Estimation Error
V. Arvind Rameshwar, Anshoo Tandon
This paper considers the private release of statistics of disjoint subsets of a dataset, in the setting of data heterogeneity, where users could contribute more than one sample, wi…
Estimating the Weight Enumerators of Reed-Muller Codes via Sampling
Shreyas Jain, V. Arvind Rameshwar, Navin Kashyap
This paper develops an algorithmic approach for obtaining estimates of the weight enumerators of Reed-Muller (RM) codes. Our algorithm is based on a technique for estimating the pa…
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…