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Alfredo Rial

Researcher at University of Luxembourg

Publications -  41
Citations -  1323

Alfredo Rial is an academic researcher from University of Luxembourg. The author has contributed to research in topics: Oblivious transfer & Universal composability. The author has an hindex of 14, co-authored 39 publications receiving 1218 citations. Previous affiliations of Alfredo Rial include Katholieke Universiteit Leuven & IBM.

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Proceedings ArticleDOI

Privacy-preserving smart metering

TL;DR: This work proposes a privacy-preserving protocol for general calculations on fine-grained meter readings, while keeping the use of tamper evident meters to a strict minimum, and allows users to perform and prove the correctness of computations based on readings on their own devices.
Proceedings Article

Privacy-preserving smart metering

TL;DR: In this article, the authors proposed a privacy-preserving protocol for general calculations on fine-grained meter readings, while keeping the use of tamper evident meters to a strict minimum.
Book ChapterDOI

Blind and Anonymous Identity-Based Encryption and Authorised Private Searches on Public Key Encrypted Data

TL;DR: A searchable encryption scheme that allows users to privately search by keywords on encrypted data in a public key setting and decrypt the search results and applies it to build apublic key encrypted database that permits authorised private searches, i.e., neither the keywords nor the searchresults are revealed.
Proceedings Article

PrETP: privacy-preserving electronic toll pricing

TL;DR: This work presents PrETP, a privacy-preserving ETP system in which on-board units can prove that they use genuine data and perform correct operations while disclosing the minimum amount of location data.
Book ChapterDOI

Differentially private billing with rebates

TL;DR: In this paper, the monetary amount a customer should add to their bill in order to provably hide their activities, within the differential privacy framework, is studied, and a cryptographic protocol for oblivious billing that ensures any additional expenditure, aimed at protecting privacy, can be tracked and reclaimed in the future, thus minimising its cost.