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E. B. Quirk

dblp:302/3952 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Privacy and data protection · 77% Cryptographic protocols and secure computation · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Privacy and data protection › differential privacy
private aggregation
0.612022
STAR: Secret Sharing for Private Threshold Aggregation Reporting · CCS 2022
Cryptographic protocols and secure computation
secret sharing
0.212022
STAR: Secret Sharing for Private Threshold Aggregation Reporting · CCS 2022

Methods — techniques the papers use, named apart from their topics

secret sharing · 0.6
YearPublicationVenuePosition
2022 STAR: Secret Sharing for Private Threshold Aggregation Reporting
abstract
Threshold aggregation reporting systems promise a practical, privacy-preserving solution for developers to learn how their applications are used in-the-wild. Unfortunately, proposed systems to date prove impractical for wide scale adoption, suffering from a combination of requiring: i) prohibitive trust assumptions; ii) high computation costs; or iii) massive user bases. As a result, adoption of truly-private approaches has been limited to only a small number of enormous (and enormously costly) projects.
Alex Davidson, Peter Snyder, E. B. Quirk, Joseph Genereux, Benjamin Livshits, Hamed Haddadi 0001
CCS3