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We consider the problem of private information retrieval (PIR) of a single message out of $K$ messages from $N$ non-colluding and non-replicated databases. Different from the majority of the existing literature, which considers the case of…

信息论 · 计算机科学 2019-01-03 Karim Banawan , Sennur Ulukus

We study the problem of Private Information Retrieval (PIR) in the presence of prior side information. The problem setup includes a database of $K$ independent messages possibly replicated on several servers, and a user that needs to…

信息论 · 计算机科学 2017-09-04 Swanand Kadhe , Brenden Garcia , Anoosheh Heidarzadeh , Salim El Rouayheb , Alex Sprintson

We consider the problem of $T$-Private Information Retrieval with private side information (TPIR-PSI). In this problem, $N$ replicated databases store $K$ independent messages, and a user, equipped with a local cache that holds $M$ messages…

信息论 · 计算机科学 2019-06-03 Zhen Chen , Zhiying Wang , Syed Jafar

We study Private Information Retrieval with Side Information (PIR-SI) in the single-server multi-message setting. In this setting, a user wants to download $D$ messages from a database of $K\geq D$ messages, stored on a single server,…

信息论 · 计算机科学 2018-07-27 Anoosheh Heidarzadeh , Brenden Garcia , Swanand Kadhe , Salim El Rouayheb , Alex Sprintson

Private information retrieval (PIR) allows a user to retrieve a desired message out of $K$ possible messages from $N$ databases without revealing the identity of the desired message. Majority of existing works on PIR assume the presence of…

信息论 · 计算机科学 2017-11-15 Maryam Abdul-Wahid , Firas Almoualem , Deepak Kumar , Ravi Tandon

We investigate the demand private coded caching problem, which is an $(N,K)$ coded caching problem with $N$ files, $K$ users, each equipped with a cache of size $M$, and an additional privacy constraint on user demands, i.e., each user can…

信息论 · 计算机科学 2025-04-28 Qinyi Lu , Nan Liu , Wei Kang , Chunguo Li

Private information retrieval (PIR) allows a user to download one of $K$ messages from $N$ databases without revealing to any database which of the $K$ messages is being downloaded. In general, the databases can be storage constrained where…

信息论 · 计算机科学 2019-01-23 Nicholas Woolsey , Rong-Rong Chen , Mingyue Ji

Private information retrieval (PIR) allows a user to retrieve a desired message from a set of databases without revealing the identity of the desired message. The replicated databases scenario was considered by Sun and Jafar, 2016, where…

信息论 · 计算机科学 2018-10-25 Mohamed Adel Attia , Deepak Kumar , Ravi Tandon

We formulate a new variant of the private information retrieval (PIR) problem where the user is pliable, i.e., interested in any message from a desired subset of the available dataset, denoted as pliable private information retrieval…

信息论 · 计算机科学 2022-06-14 Sarah A. Obead , Jörg Kliewer

This paper considers the problem of multi-server Private Linear Computation, under the joint and individual privacy guarantees. In this problem, identical copies of a dataset comprised of $K$ messages are stored on $N$ non-colluding…

信息论 · 计算机科学 2021-08-24 Nahid Esmati , Anoosheh Heidarzadeh

We study the problem of single-server multi-message private information retrieval with side information. One user wants to recover $N$ out of $K$ independent messages which are stored at a single server. The user initially possesses a…

信息论 · 计算机科学 2018-08-20 Su Li , Michael Gastpar

We present a private information retrieval (PIR) scheme that allows a user to retrieve a single message from an arbitrary number of databases by colluding with other users while hiding the desired message index. This scheme is of particular…

信息论 · 计算机科学 2020-10-29 William Barnhart , Zhi Tian

We consider the problem of private information retrieval (PIR) with colluding servers and eavesdroppers (abbreviated as ETPIR). The ETPIR problem is comprised of $K$ messages, $N$ servers where each server stores all $K$ messages, a user…

信息论 · 计算机科学 2018-11-26 Qiwen Wang , Hua Sun , Mikael Skoglund

We consider constructing capacity-achieving linear codes with minimum message size for private information retrieval (PIR) from $N$ non-colluding databases, where each message is coded using maximum distance separable (MDS) codes, such that…

信息论 · 计算机科学 2020-01-24 Ruida Zhou , Chao Tian , Hua Sun , Tie Liu

Motivated by an open problem and a conjecture, this work studies the problem of single server private information retrieval with private coded side information (PIR-PCSI) that was recently introduced by Heidarzadeh et al. The goal of…

信息论 · 计算机科学 2025-09-26 Yuxiang Lu , Syed Ali Jafar

We study the problem of weakly private information retrieval (PIR) when there is heterogeneity in servers' trustworthiness under the maximal leakage (Max-L) metric and mutual information (MI) metric. A user wishes to retrieve a desired…

信息论 · 计算机科学 2025-06-23 Wenyuan Zhao , Yu-Shin Huang , Ruida Zhou , Chao Tian

We propose a new capacity-achieving code for the private information retrieval (PIR) problem, and show that it has the minimum message size (being one less than the number of servers) and the minimum upload cost (being roughly linear in the…

信息论 · 计算机科学 2019-03-06 Chao Tian , Hua Sun , Jun Chen

We study the role of coded side information in single-server Private Information Retrieval (PIR). An instance of the single-server PIR problem includes a server that stores a database of $K$ independently and uniformly distributed messages,…

信息论 · 计算机科学 2019-10-18 Anoosheh Heidarzadeh , Fatemeh Kazemi , Alex Sprintson

This paper introduces a generalization of the Private Information Retrieval with Side Information (PIR-SI) problem called Popularity-Aware PIR-SI (PA-PIR-SI). The PA-PIR-SI problem includes one or more remote servers storing copies of a…

信息论 · 计算机科学 2022-05-17 Alejandro Gomez-Leos , Anoosheh Heidarzadeh

We consider the coded caching problem with an additional privacy constraint that a user should not get any information about the demands of the other users. We first show that a demand-private scheme for $N$ files and $K$ users can be…

信息论 · 计算机科学 2021-01-19 Chinmay Gurjarpadhye , Jithin Ravi , Sneha Kamath , Bikash Kumar Dey , Nikhil Karamchandani