activity
20062026
most citedDecentralized Erasure Codes for Distributed Networked Storage

259 citations · 564 across the 50 of their papers we have counts for

collaborators

70 papers

cs.IT2026

Authentication over Arbitrarily Varying Channels with Causal Adversaries

Mayank Bakshi, Vinod M. Prabhakaran, Bikash Kumar Dey +1

We study authentication over a discrete memoryless arbitrarily varying channel (AVC) in which the adversary selects the channel state causally based on past channel outputs. We pro…

cs.IT2026

Secure Distributed Hypothesis Testing

Gowtham R. Kurri, Varun Narayanan, Vinod M. Prabhakaran +1

In distributed hypothesis testing, a central server performs hypothesis testing based on information received from distributed sensors/clients. We study a secure variant of this pr…

cs.IT2026

Memory Constrained Adversarial Hypothesis Testing

Malhar A. Managoli, Vinod M. Prabhakaran

We study adversarial binary hypothesis testing under memory constraints. The test is a time-invariant randomized finite state machine (FSM) with S states. Associated with each hypo…

cs.IT2026

From Submodularity to Matrix Determinants: Strengthening Han's, Szász's, and Fischer's Inequalities

Gunank Jakhar, Gowtham R. Kurri, Suryajith Chillara +1

Dembo, Cover, and Thomas (1991) developed an elegant information-theoretic framework for proving determinantal inequalities for positive definite matrices, which relies on the stru…

cs.IT2026

Generalized Information Inequalities via Submodularity, and Two Combinatorial Problems

Gunank Jakhar, Gowtham R. Kurri, Suryajith Chillara +1

It is well known that there is a strong connection between entropy inequalities and submodularity, since the entropy of a collection of random variables is a submodular function. U…

cs.IT2025

Sequential Adversarial Hypothesis Testing

Eeshan Modak, Mayank Bakshi, Bikash Kumar Dey +1

We study the adversarial binary hypothesis testing problem in the sequential setting. Associated with each hypothesis is a closed, convex set of distributions. Given the hypothesis…