activity
20152021
most citedEnd-to-end verifiability

16 citations · 25 across the 6 of their papers we have counts for

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Showing cs.CRShow all

8 papers · 1 filter

cs.CR2021

PakeMail: authentication and key management in decentralized secure email and messaging via PAKE

Itzel Vazquez Sandoval, Arash Atashpendar, Gabriele Lenzini +1

We propose the use of PAKE for achieving and enhancing entity authentication (EA) and key management (KM) in the context of decentralized end-to-end encrypted email and secure mess…

cs.CR20213 cited

Electryo, In-person Voting with Transparent Voter Verifiability and Eligibility Verifiability

Peter B. Roenne, Peter Y. A Ryan, Marie-Laure Zollinger

Selene is an e-voting protocol that allows voters to directly check their individual vote, in cleartext, in the final tally via a tracker system, while providing good coercion miti…

cs.CR2020

Preservation of DNA Privacy During the Large Scale Detection of COVID-19

Marcel Hollenstein, David Naccache, Peter B. Rønne +3

As humanity struggles to contain the global COVID-19 pandemic, privacy concerns are emerging regarding confinement, tracing and testing. The scientific debate concerning privacy of…

cs.CR2019

Risk-Limiting Tallies

Wojciech Jamroga, Peter B. Roenne, Peter Y. A. Ryan +1

Many voter-verifiable, coercion-resistant schemes have been proposed, but even the most carefully designed systems necessarily leak information via the announced result. In corner…

cs.CR2019

Coercion-Resistant Voting in Linear Time via Fully Homomorphic Encryption: Towards a Quantum-Safe Scheme

Peter B. Rønne, Arash Atashpendar, Kristian Gjøsteen +1

We present an approach for performing the tallying work in the coercion-resistant JCJ voting protocol, introduced by Juels, Catalano, and Jakobsson, in linear time using fully homo…

cs.CR2018

CryptoRec: Privacy-preserving Recommendation as a Service

Jun Wang, Afonso Arriaga, Qiang Tang +1

Recommender systems rely on large datasets of historical data and entail serious privacy risks. A server offering Recommendation as a Service to a client might leak more informatio…