Locality-Sensitive Hashing Does Not Guarantee Privacy! Attacks on Google's FLoC and the MinHash Hierarchy System Article Swipe
Florian Turati
,
Karel Kubíček
,
Carlos Cotrini
,
David Basin
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.56553/popets-2023-0101
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.56553/popets-2023-0101
Recently proposed systems aim at achieving privacy using locality-sensitive hashing. We show how these approaches fail by presenting attacks against two such systems: Google's FLoC proposal for privacy-preserving targeted advertising and the MinHash Hierarchy, a system for processing location trajectories in a privacy-preserving way. Our attacks refute the pre-image resistance, anonymity, and privacy guarantees claimed for these systems. In the case of FLoC, we show how to deanonymize users using Sybil attacks and to reconstruct 10% or more of the browsing history for 30% of its users using Generative Adversarial Networks. We achieve this only analyzing the hashes used by FLoC. For MinHash, we precisely identify the location trajectory of a subset of individuals and, on average, we can limit users' trajectory to just 10% of the possible geographic area, again using just the hashes. In addition, we refute their differential privacy claims.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.56553/popets-2023-0101
- https://petsymposium.org/popets/2023/popets-2023-0101.pdf
- OA Status
- hybrid
- Cited By
- 8
- References
- 20
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385522522
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4385522522Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.56553/popets-2023-0101Digital Object Identifier
- Title
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Locality-Sensitive Hashing Does Not Guarantee Privacy! Attacks on Google's FLoC and the MinHash Hierarchy SystemWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-08-03Full publication date if available
- Authors
-
Florian Turati, Karel Kubíček, Carlos Cotrini, David BasinList of authors in order
- Landing page
-
https://doi.org/10.56553/popets-2023-0101Publisher landing page
- PDF URL
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https://petsymposium.org/popets/2023/popets-2023-0101.pdfDirect link to full text PDF
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://petsymposium.org/popets/2023/popets-2023-0101.pdfDirect OA link when available
- Concepts
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Computer science, Locality-sensitive hashing, Computer security, Hash function, Anonymity, Internet privacy, Differential privacy, Hierarchy, Locality, Data mining, Hash table, Law, Linguistics, Philosophy, Political scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
8Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 2, 2023: 3Per-year citation counts (last 5 years)
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20Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| primary_location.raw_source_name | Proceedings on Privacy Enhancing Technologies |
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| publication_date | 2023-08-03 |
| publication_year | 2023 |
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