activity
20142026
most citedSystematizing Decentralization and Privacy: Lessons from 15 Years of Research and Deployments

86 citations · 387 across the 45 of their papers we have counts for

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Showing cs.CRShow all

32 papers · 1 filter

cs.CR2023

Janus: Safe Biometric Deduplication for Humanitarian Aid Distribution

Kasra EdalatNejad, Wouter Lueks, Justinas Sukaitis +3

Humanitarian organizations provide aid to people in need. To use their limited budget efficiently, their distribution processes must ensure that legitimate recipients cannot receiv…

cs.CR2023

Not Yet Another Digital ID: Privacy-preserving Humanitarian Aid Distribution

Boya Wang, Wouter Lueks, Justinas Sukaitis +2

Humanitarian aid-distribution programs help bring physical goods to people in need. Traditional paper-based solutions to support aid distribution do not scale to large populations…

cs.CR2023★ 1 cited

Universal Neural-Cracking-Machines: Self-Configurable Password Models from Auxiliary Data

Dario Pasquini, Giuseppe Ateniese, Carmela Troncoso

We introduce the concept of "universal password model" -- a password model that, once pre-trained, can automatically adapt its guessing strategy based on the target system. To achi…

cs.CR2022★ 2 cited

COOKIEGRAPH: Understanding and Detecting First-Party Tracking Cookies

Shaoor Munir, Sandra Siby, Umar Iqbal +3

As third-party cookie blocking is becoming the norm in browsers, advertisers and trackers have started to use first-party cookies for tracking. We conduct a differential measuremen…

cs.CR2022

Private Collection Matching Protocols

Kasra EdalatNejad, Mathilde Raynal, Wouter Lueks +1

We introduce Private Collection Matching (PCM) problems, in which a client aims to determine whether a collection of sets owned by a server matches their interests. Existing privac…

cs.CR2022★ 2 cited

On the (In)security of Peer-to-Peer Decentralized Machine Learning

Dario Pasquini, Mathilde Raynal, Carmela Troncoso

In this work, we carry out the first, in-depth, privacy analysis of Decentralized Learning -- a collaborative machine learning framework aimed at addressing the main limitations of…