activity
20212026
collaborators

18 papers

cs.IT2026

Private Information Retrieval With Arbitrary Privacy Requirements: Introduction and Capacity Results

Mohamed Nomeir, Shreya Meel, Sennur Ulukus

In this paper, we introduce the problem of private information retrieval (PIR) under arbitrary privacy requirements, in a graph-based storage system. This formulation is motivated…

cs.IT2026

Local Private Information Retrieval for Graph-Based Replicated Systems

Shreya Meel, Mohamed Nomeir, Sennur Ulukus

We rethink the definition of privacy in multi-server, graph-replicated private information retrieval (PIR) systems, by introducing a novel setting where the user's privacy is gover…

cs.IT2026

Private Information Retrieval With Arbitrary Privacy Requirements for Graph-Based Storage

Mohamed Nomeir, Shreya Meel, Sennur Ulukus

We reformulate the definition of privacy in the private information retrieval (PIR) problem to accommodate flexible privacy requirements. We focus on graph-replicated PIR, with a g…

cs.IT2026

Local Private Information Retrieval: A New Privacy Perspective for Graph-Based Replicated Systems

Shreya Meel, Mohamed Nomeir, Sennur Ulukus

We rethink the definition of privacy in multi-server, graph-replicated private information retrieval (PIR) systems, and introduce a novel setting where the user's privacy is govern…

cs.IT2026

The Role of Common Randomness Replication in Symmetric PIR on Graph-Based Replicated Systems

Shreya Meel, Sennur Ulukus

In symmetric private information retrieval (SPIR), a user communicates with multiple servers to retrieve from them a message in a database, while not revealing the message index to…

cs.CR2025

HetDAPAC: Leveraging Attribute Heterogeneity in Distributed Attribute-Based Private Access Control

Shreya Meel, Sennur Ulukus

Verifying user attributes to provide fine-grained access control to databases is fundamental to attribute-based authentication. Either a single (central) authority verifies all the…

cs.IT2025

Effect of Full Common Randomness Replication in Symmetric PIR on Graph-Based Replicated Systems

Shreya Meel, Sennur Ulukus

We revisit the problem of symmetric private information retrieval (SPIR) in settings where the database replication is modeled by a simple graph. Here, each vertex corresponds to a…

cs.IT2025

Multi-Agent Distributed Optimization With Feasible Set Privacy

Shreya Meel, Sennur Ulukus

We consider the problem of decentralized constrained optimization with multiple agents who jointly wish to learn the optimal solution set while keeping their feasi…

cs.IT2025

What If, But Privately: Private Counterfactual Retrieval

Shreya Meel, Mohamed Nomeir, Pasan Dissanayake +2

Transparency and explainability are two important aspects to be considered when employing black-box machine learning models in high-stake applications. Providing counterfactual exp…

cs.IT2025

Symmetric Private Information Retrieval (SPIR) on Graph-Based Replicated Systems

Shreya Meel, Sennur Ulukus

We introduce the problem of symmetric private information retrieval (SPIR) on replicated databases modeled by a simple graph. In this model, each vertex corresponds to a server, an…

cs.IT2025

New Capacity Bounds for PIR on Graph and Multigraph-Based Replicated Storage

Xiangliang Kong, Shreya Meel, Thomas Jacob Maranzatto +2

In this paper, we study the problem of private information retrieval (PIR) in both graph-based and multigraph-based replication systems, where each file is stored on exactly two se…

cs.IT2025

Private Information Retrieval on Multigraph-Based Replicated Storage

Shreya Meel, Xiangliang Kong, Thomas Jacob Maranzatto +2

We consider the private information retrieval (PIR) problem for a multigraph-based replication system, where each set of files is stored on two of the servers according to an u…

cs.IT2024

Private Counterfactual Retrieval With Immutable Features

Shreya Meel, Pasan Dissanayake, Mohamed Nomeir +2

In a classification task, counterfactual explanations provide the minimum change needed for an input to be classified into a favorable class. We consider the problem of privately r…

cs.IT2024

Private Counterfactual Retrieval

Mohamed Nomeir, Pasan Dissanayake, Shreya Meel +2

Transparency and explainability are two extremely important aspects to be considered when employing black-box machine learning models in high-stake applications. Providing counterf…

cs.IT2024

HetDAPAC: Distributed Attribute-Based Private Access Control with Heterogeneous Attributes

Shreya Meel, Sennur Ulukus

Verifying user attributes to provide fine-grained access control to databases is fundamental to an attribute-based authentication system. In such systems, either a single (central)…

cs.IT2023

Distributed Optimization with Feasible Set Privacy

Shreya Meel, Sennur Ulukus

We consider the setup of a constrained optimization problem with two agents and who jointly wish to learn the optimal solution set while keeping their feasible sets $\m…

cs.IT2021

Secretive Coded Caching from PDAs

Shreya Shrestha Meel, B. Sundar Rajan

The coded caching problem with secrecy constraint i.e., the users should not be able to gain any information about the content of the files that they did not demand, is known as th…

cs.IT2021

Secretive Coded Caching with Shared Caches

Shreya Shrestha Meel, B. Sundar Rajan

We consider the problem of \emph{secretive coded caching} in a shared cache setup where the number of users accessing a particular \emph{helper cache} is more than one, and every u…