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20192021
most citedInformation Leakage in Zero-Error Source Coding: A Graph-Theoretic Perspective

1 citations · 1 across the 3 of their papers we have counts for

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cs.IT2026

A Joint Power-Privacy Control Framework for Decentralized Learning over Heterogeneous Wireless Multicasting Networks

Amir Ziaeddini, Yauhen Yakimenka, Joerg Kliewer

In this paper, we propose a decentralized learning framework that incorporates both power control and privacy guarantees. Specifically, we enable a set of clients in a wireless mul…

cs.IT2021

Nested Array-Based Spatially Coupled LDPC Codes

Salman Habib, David G. M. Mitchell, Joerg Kliewer

Linear nested codes, where two or more sub-codes are nested in a global code, have been proposed as candidates for reliable multi-terminal communication. In this paper, we consider…

cs.IT20211 cited

Information Leakage in Zero-Error Source Coding: A Graph-Theoretic Perspective

Yucheng Liu, Lawrence Ong, Sarah Johnson +3

We study the information leakage to a guessing adversary in zero-error source coding. The source coding problem is defined by a confusion graph capturing the distinguishability bet…

cs.IT2020

Learning to Decode: Reinforcement Learning for Decoding of Sparse Graph-Based Channel Codes

Salman Habib, Allison Beemer, Joerg Kliewer

We show in this work that reinforcement learning can be successfully applied to decoding short to moderate length sparse graph-based channel codes. Specifically, we focus on low-de…

cs.IT2020

Authentication Against a Myopic Adversary

Allison Beemer, Eric Graves, Joerg Kliewer +2

We consider keyless authentication for point-to-point communication in the presence of a myopic adversary. In particular, the adversary has access to a non-causal noisy version of…

cs.IT2020

Secure Distributed Storage: Rate-Privacy Trade-Off and XOR-Based Coding Scheme

Remi A. Chou, Joerg Kliewer

We consider the problem of storing data in a distributed manner over servers. We require the data (i) to be recoverable from the servers, and (ii) to remain private from an…