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相关论文: Local Private Information Retrieval: A New Privacy…

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Private Information Retrieval (PIR) allows a client to retrieve an entry $\text{DB}[i]$ from a public database $\text{DB}$ held by one or more servers, without revealing the queried index $i$. Traditional PIR schemes achieve sublinear…

密码学与安全 · 计算机科学 2025-10-07 Elian Morel

We consider the problem of recovering latent information from graphs under $\varepsilon$-edge local differential privacy where the presence of relationships/edges between two users/vertices remains confidential, even from the data curator.…

机器学习 · 计算机科学 2025-04-25 Siddharth Vishwanath , Jonathan Hehir

Private Information Retrieval (PIR) schemes enable users to securely retrieve files from a server without disclosing the content of their queries, thereby preserving their privacy. In 2008, Melchor and Gaborit proposed a PIR scheme that…

密码学与安全 · 计算机科学 2025-05-12 Svenja Lage

Private Information Retrieval (PIR) allows clients to retrieve database entries without leaking retrieval indices, yet malicious servers seriously compromise retrieval correctness. Existing Authenticated PIR (APIR) schemes resist…

密码学与安全 · 计算机科学 2026-04-27 Pengzhen Ke , Yuxuan Qin , Liang Feng Zhang

This paper considers the single-server Private Linear Transformation (PLT) problem when individual privacy is required. In this problem, there is a user that wishes to obtain $L$ linear combinations of a $D$-subset of messages belonging to…

信息论 · 计算机科学 2021-02-08 Nahid Esmati , Anoosheh Heidarzadeh , Alex Sprintson

Privacy-preserving distributed processing has recently attracted considerable attention. It aims to design solutions for conducting signal processing tasks over networks in a decentralized fashion without violating privacy. Many algorithms…

密码学与安全 · 计算机科学 2020-09-03 Qiongxiu Li , Jaron Skovsted Gundersen , Richard Heusdens , Mads Græsbøll Christensen

This paper investigates the problem of Leaky Private Information Retrieval with Side Information (L-PIR-SI), providing a fundamental characterization of the trade-off among leaky privacy, side information, and download cost. We propose a…

信息论 · 计算机科学 2026-01-21 Yingying Huangfu , Tian Bai

In Pliable Private Information Retrieval (PPIR) with a single server, messages are partitioned into $\Gamma$ non-overlapping classes. The user wants to retrieve a message from its desired class without revealing the identity of the desired…

信息论 · 计算机科学 2024-04-23 Megha Rayer , Charul Rajput , B. Sundar Rajan

The private collection of multiple statistics from a population is a fundamental statistical problem. One possible approach to realize this is to rely on the local model of differential privacy (LDP). Numerous LDP protocols have been…

密码学与安全 · 计算机科学 2023-08-02 Héber H. Arcolezi , Sébastien Gambs , Jean-François Couchot , Catuscia Palamidessi

Private information retrieval from a single server is considered, utilizing random linear codes. Presented is a modified version of the first code-based single-server computational PIR scheme proposed by Holzbaur, Hollanti, and Wachter-Zeh…

信息论 · 计算机科学 2025-05-07 Neehar Verma , Camilla Hollanti

The collection and analysis of user data drives improvements in the app and web ecosystems, but comes with risks to privacy. This paper examines discrete distribution estimation under local privacy, a setting wherein service providers can…

机器学习 · 统计学 2016-06-16 Peter Kairouz , Keith Bonawitz , Daniel Ramage

Real-time data-driven optimization and control problems over networks may require sensitive information of participating users to calculate solutions and decision variables, such as in traffic or energy systems. Adversaries with access to…

最优化与控制 · 数学 2020-05-25 Roel Dobbe , Ye Pu , Jingge Zhu , Kannan Ramchandran , Claire Tomlin

We propose an information-theoretic private information retrieval (PIR) scheme for distributed storage systems where data is stored using a linear systematic code of rate $R > 1/2$. The proposed scheme generalizes the PIR scheme for data…

信息论 · 计算机科学 2017-05-31 Siddhartha Kumar , Eirik Rosnes , Alexandre Graell i Amat

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 differential privacy (DP) in a multi-party setting where each party only trusts a (known) subset of the other parties with its data. Specifically, given a trust graph where vertices correspond to parties and neighbors are mutually…

密码学与安全 · 计算机科学 2024-10-17 Badih Ghazi , Ravi Kumar , Pasin Manurangsi , Serena Wang

We consider the problem of single-round private information retrieval (PIR) from $N$ replicated databases. We consider the case when $B$ databases are outdated (unsynchronized), or even worse, adversarial (Byzantine), and therefore, can…

信息论 · 计算机科学 2017-06-06 Karim Banawan , Sennur Ulukus

The problem of $T$-colluding private information retrieval (PIR) enables the user to retrieve one out of $M$ files from a distributed storage system with $N$ servers without revealing anything about the index of the desired file to any…

信息论 · 计算机科学 2025-06-10 Jinbao Zhu , Xiaohu Tang

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 study the problem of pliable private information retrieval with side information (PPIR-SI) for the single server case. In PPIR, the messages are partitioned into nonoverlapping classes and stored in a number of noncolluding databases.…

信息论 · 计算机科学 2023-10-05 Sarah A. Obead , Hsuan-Yin Lin , Eirik Rosnes

Through legislation and technical advances users gain more control over how their data is processed, and they expect online services to respect their privacy choices and preferences. However, data may be processed for many different…

数据库 · 计算机科学 2024-03-19 Dorota Filipczuk , Enrico H. Gerding , George Konstantinidis
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