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Cited by 378Privacy-Preserving Technologies in DataInternet Traffic Analysis and Secure E-votingPrivacy, Security, and Data Protection

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Prochlo: Strong Privacy for Analytics in the Crowd

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Bittau, Andrea, Erlingsson, Úlfar, Maniatis, Petros, Mironov, Ilya, Raghunathan, Ananth, Lie, David, Rudominer, Mitch, Kode, Ushasree, Tinnes, Julien, Seefeld, Bernhard·2017·Proceedings of the 26th Symposium on Operating Systems Principles
DOI 10.1145/3132747.3132769
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Abstract

The large-scale monitoring of computer users' software activities has become commonplace, e.g., for application telemetry, error reporting, or demographic profiling. This paper describes a principled systems architecture---Encode, Shuffle, Analyze (ESA)---for performing such monitoring with high utility while also protecting user privacy. The ESA design, and its Prochlo implementation, are informed by our practical experiences with an existing, large deployment of privacy-preserving software monitoring.

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Metadata

Authors
Bittau, A., Erlingsson, Ú., Maniatis, P., Mironov, I., Raghunathan, A., Lie, D., Rudominer, M., Kode, U., Tinnes, J., & Seefeld, B.
Affiliations
  • Google (United States) (US)
  • University of Toronto (CA)
ORCID
Venue
Proceedings of the 26th Symposium on Operating Systems Principles
Publisher
ACM
Published
2017-10-14
Pages
441-459
DOI
10.1145/3132747.3132769
OpenAlex
W2761138375
Cited by
378
References
50
Citations by year
2026: 22 · 2025: 37 · 2024: 55 · 2023: 46 · 2022: 50 · 2021: 70 · 2020: 46 · 2019: 36 · 2018: 12 · 2017: 4
FWCI
11.96
Type
conference paper
Language
en
Open access
Licence
www.acm.org/publications/policies/copyright_policy#Background (vor)
Locations
  • ACM SIGOPS Symposium on Operating Systems Principles (SOSP) (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • TSpace (University of Toronto) (submittedVersion)
  • arXiv (Cornell University)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
  • Physical Sciences › Computer Science › Artificial Intelligence › Internet Traffic Analysis and Secure E-voting
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
Keywords
user privacy, privacy-preserving monitoring, telemetry, error reporting, demographic profiling, system architecture

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