◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Matteo Allaix

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.IT4

identity via Semantic Scholar / OpenAlex

activity
20202022
collaborators

4 papers

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

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

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…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.