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20072023
most citedPrivate Information Retrieval from Coded Databases with Colluding Servers

258 citations · 705 across the 68 of their papers we have counts for

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cs.IT2023

-Sum Box: An Abstraction for Linear Computation over Many-to-one Quantum Networks

Matteo Allaix, Yuxiang Lu, Yuhang Yao +3

Linear computations over quantum many-to-one communication networks offer opportunities for communication cost improvements through schemes that exploit quantum entanglement among…

cs.IT2023★ 2 cited

Algebraic Geometry Codes for Secure Distributed Matrix Multiplication

Okko Makkonen, Elif Saçıkara, Camilla Hollanti

In this paper, we propose a novel construction for secure distributed matrix multiplication (SDMM) based on algebraic geometry (AG) codes, which we call the PoleGap SDMM scheme. Th…

cs.IT2022

Secure Distributed Gram Matrix Multiplication

Okko Makkonen, Camilla Hollanti

The Gram matrix of a matrix is defined as (or ). Computing the Gram matrix is an important operation in many applications, such as linear regression with the lea…

cs.IT2022

General Framework for Linear Secure Distributed Matrix Multiplication with Byzantine Servers

Okko Makkonen, Camilla Hollanti

In this paper, a general framework for linear secure distributed matrix multiplication (SDMM) is introduced. The model allows for a neat treatment of straggling and Byzantine serve…

cs.IT2022

Private Information Retrieval from Colluding and Byzantine Servers with Binary Reed-Muller Codes

Perttu Saarela, Matteo Allaix, Ragnar Freij-Hollanti +1

In this work, a flexible and robust private information retrieval (PIR) scheme based on binary non-maximum distance separable (non-MDS) codes is considered. This combines previous…

cs.IT2021

On the Capacity of Quantum Private Information Retrieval from MDS-Coded and Colluding Servers

Matteo Allaix, Seunghoan Song, Lukas Holzbaur +3

In quantum private information retrieval (QPIR), a user retrieves a classical file from multiple servers by downloading quantum systems without revealing the identity of the file.…

cs.IT2021★ 24 cited

Private and Secure Distributed Matrix Multiplication Schemes for Replicated or MDS-Coded Servers

Jie Li, Camilla Hollanti

In this paper, we study the problem of \emph{private and secure distributed matrix multiplication (PSDMM)}, where a user having a private matrix and non-colluding servers s…

cs.IT2021★ 7 cited

Efficient Recovery of a Shared Secret via Cooperation: Applications to SDMM and PIR

Jie Li, Okko Makkonen, Camilla Hollanti +1

This work considers the problem of privately outsourcing the computation of a matrix product over a finite field to helper servers. These servers are considered…

cs.IT2021

High-Rate Quantum Private Information Retrieval with Weakly Self-Dual Star Product Codes

Matteo Allaix, Lukas Holzbaur, Tefjol Pllaha +1

In the classical private information retrieval (PIR) setup, a user wants to retrieve a file from a database or a distributed storage system (DSS) without revealing the file identit…

cs.IT2020

Computational Code-Based Single-Server Private Information Retrieval

Lukas Holzbaur, Camilla Hollanti, Antonia Wachter-Zeh

A new computational private information retrieval (PIR) scheme based on random linear codes is presented. A matrix of messages from a McEliece scheme is used to query the server wi…

cs.IT2020

Quantum Private Information Retrieval from Coded and Colluding Servers

Matteo Allaix, Lukas Holzbaur, Tefjol Pllaha +1

In the classical private information retrieval (PIR) setup, a user wants to retrieve a file from a database or a distributed storage system (DSS) without revealing the file identit…

cs.IT2020

Low-Rank Parity-Check Codes over the Ring of Integers Modulo a Prime Power

Julian Renner, Sven Puchinger, Antonia Wachter-Zeh +2

We define and analyze low-rank parity-check (LRPC) codes over extension rings of the finite chain ring , where is a prime and is a positive integer. LRPC…

cs.IT2019★ 17 cited

Towards Practical Private Information Retrieval from MDS Array Codes

Jie Li, David Karpuk, Camilla Hollanti

Private information retrieval (PIR) is the problem of privately retrieving one out of original files from severs, i.e., each individual server learns nothing about the file…

cs.IT2019★ 3 cited

Uniform Minors in Maximally Recoverable Codes

Matthias Grezet, Thomas Westerbäck, Ragnar Freij-Hollanti +1

In this letter, locally recoverable codes with maximal recoverability are studied with a focus on identifying the MDS codes resulting from puncturing and shortening. By using matro…

cs.IT2019★ 22 cited

Towards the Capacity of Private Information Retrieval from Coded and Colluding Servers

Lukas Holzbaur, Ragnar Freij-Hollanti, Jie Li +1

In this work, two practical concepts related to private information retrieval (PIR) are introduced and coined full support-rank PIR and strongly linear PIR. Being of full support-r…

cs.IT2019★ 15 cited

A Generic Transformation for Optimal Node Repair in MDS Array Codes over

Jie Li, Xiaohu Tang, Camilla Hollanti

For high-rate linear systematic maximum distance separable (MDS) codes, most early constructions could initially optimally repair all the systematic nodes but not all the parity no…

cs.IT2019

The Complete Hierarchical Locality of the Punctured Simplex Code

Matthias Grezet, Camilla Hollanti

This paper presents a new alphabet-dependent bound for codes with hierarchical locality. Then, the complete list of possible localities is derived for a class of codes obtained by…

cs.IT2018★ 1 cited

Private Information Retrieval Schemes with Regenerating Codes

Julien Lavauzelle, Razane Tajeddine, Ragnar Freij-Hollanti +1

A private information retrieval (PIR) scheme allows a user to retrieve a file from a database without revealing any information on the file being requested. As of now, PIR schemes…

cs.IT2018

Private Information Retrieval over Random Linear Networks

Razane Tajeddine, Antonia Wachter-Zeh, Camilla Hollanti

In this paper, the problem of providing privacy to users requesting data over a network from a distributed storage system (DSS) is considered. The DSS, which is considered as the m…

cs.IT2018★ 13 cited

Alphabet-Dependent Bounds for Linear Locally Repairable Codes Based on Residual Codes

Matthias Grezet, Ragnar Freij-Hollanti, Thomas Westerbäck +1

Locally repairable codes (LRCs) have gained significant interest for the design of large distributed storage systems as they allow a small number of erased nodes to be recovered by…

cs.IT2018★ 5 cited

Private Information Retrieval from Coded Storage Systems with Colluding, Byzantine, and Unresponsive Servers

Razane Tajeddine, Oliver W. Gnilke, David Karpuk +2

The problem of Private Information Retrieval (PIR) from coded storage systems with colluding, byzantine, and unresponsive servers is considered. An explicit scheme using an …

cs.IT2018

Private Streaming with Convolutional Codes

Lukas Holzbaur, Ragnar Freij-Hollanti, Antonia Wachter-Zeh +1

Recently, information-theoretic private information retrieval (PIR) from coded storage systems has gained a lot of attention, and a general star product PIR scheme was proposed. In…

cs.IT2018

Robust Private Information Retrieval from Coded Systems with Byzantine and Colluding Servers

Razane Tajeddine, Oliver W. Gnilke, David Karpuk +2

A private information retrieval (PIR) scheme on coded storage systems with colluding, byzantine, and non-responsive servers is presented. Furthermore, the scheme can also be used f…

cs.IT2017★ 1 cited

t-Private Information Retrieval Schemes Using Transitive Codes

Ragnar Freij-Hollanti, Oliver W. Gnilke, Camilla Hollanti +3

This paper presents private information retrieval (PIR) schemes for coded storage with colluding servers, which are not restricted to maximum distance separable (MDS) codes. PIR sc…