RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response

Erlingsson, Ú. and Pihur, V. and Korolova, A. · ACM CCS 2014

tlte-cite:rappor-2014

Editorial gloss

Google's reference deployment of local differential privacy for crowdsourced data. Cited on Karuthu Vellam methodology as comparative engineering precedent for adding DP noise to user-submitted data at the aggregation layer rather than the per-record layer (the path Karuthu Vellam takes for cohort breakdowns).

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https://research.google/pubs/rappor-randomized-aggregatable-privacy-preserving-ordinal-response/

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