English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Threshold aggregation reporting systems promise a practical,privacy-preserving solution for developers to learn how their applications areused "\emph{in-the-wild}". Unfortunately, proposed systems to date proveimpractical for wide scale adoption, suffering from a combination of requiring:\emph{i)} prohibitive trust assumptions; \emph{ii)} high computation costs; or\emph{iii)} massive user bases. As a result, adoption of truly-privateapproaches has been limited to only a small number of enormous (and enormouslycostly) projects.  In this work, we improve the state of private data collection by proposing$\mathsf{STAR}$, a highly efficient, easily deployable system for providingcryptographically-enforced $\kappa$-anonymity protections on user datacollection. The $\mathsf{STAR}$ protocol is easy to implement and cheap to run,all while providing privacy properties similar to, or exceeding the currentstate-of-the-art. Measurements of our open-source implementation of$\mathsf{STAR}$ find that it is $1773\times$ quicker, requires $62.4\times$less communication, and is $24\times$ cheaper to run than the existingstate-of-the-art.

STAR: Secret Sharing for Private Threshold Aggregation Reporting