Demo Data from VLDB 2026 / reviewers in the wild / expert
E. B. Quirk
dblp:302/3952
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Privacy and data protection › differential privacy
private aggregation |
0.6 | 1 | 2022 | STAR: Secret Sharing for Private Threshold Aggregation Reporting · CCS 2022 |
Cryptographic protocols and secure computation
secret sharing |
0.2 | 1 | 2022 | STAR: Secret Sharing for Private Threshold Aggregation Reporting · CCS 2022 |
Methods — techniques the papers use, named apart from their topics
secret sharing · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | STAR: Secret Sharing for Private Threshold Aggregation ReportingabstractThreshold 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 |
CCS | 3 |