Non-tracking web analytics
By Istemi Ekin Akkus, Ruichuan Chen, Michaela Hardt, Paul Francis, Johannes Gehrke. 2012
71 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Sociology and Political Science
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Aleksandra Korolova
- Ú. Erlingsson
- Matteo Maffei
- Vasyl Pihur
- Fabienne Eigner
- Aniket Kate
- Paul Francis
- Ruichuan Chen
In Sociology and Political Science
- Matteo Maffei
- Fabienne Eigner
- Aniket Kate
- Paul Francis
- Ú. Erlingsson
- Vasyl Pihur
- Ruichuan Chen
- Istemi Ekin Akkus
Citations in the corpus
- RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response (2014, background): “[8] and [2] implement a differentially private protocol over distributed user data by relying on an honest-but-curious proxy or data aggregator bound by certain commitments.”
- Efficient Private Statistics with Succinct Sketches (2015, neutral): “In the same line of work, Akkus et al. [4] propose a system providing differential privacy guarantees.”
- SplitX: high-performance private analytics (2013, methodology): “[4] overcome this problem by utilizing the publisher (i.”
- Differentially private data aggregation with optimal utility (2014, background): “The former rely on trusted or honest-but-curious (HbC) 1 servers [6, 15, 32] to compute noise perturbation.”
- Privacy and Access Control for Outsourced Personal Records (2015, background): “Integrity : clients can only write entries they hold write per-missions on.”
- Differential Privacy by Typing in Security Protocols (2013, methodology): “Finally, we tested our analysis technique on a protocol for privacy-preserving web analytics [17]: we discovered a new attack acknowledged by the authors, proposed a fix, and successfully type-checked the revised variant.”