Who Cited It

Robust De-anonymization of Large Sparse Datasets

2008 · Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · 2,349 citations · 5 from inside this corpus

Arvind Narayanan, Vitaly Shmatikov

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Robust De-anonymization of Large Sparse Datasets (2008)Robust De-anonymization of La…k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY (2002)k-ANONYMITY: A MODEL FOR PROT…Calibrating Noise to Sensitivity in Private Data Analysis (2006)Calibrating Noise to Sensitiv…Differential Privacy (2006)Differential PrivacyPrivacy-preserving data mining (2000)Privacy-preserving data miningL-diversity: privacy beyond k-anonymity (2006)L-diversity: privacy beyond k…ACHIEVING k-ANONYMITY PRIVACY PROTECTION USING GENERALIZATION AND SUPPRESSION (2002)ACHIEVING k-ANONYMITY PRIVACY…Privacy-preserving data mining (2000)Privacy-preserving data miningThe Algorithmic Foundations of Differential Privacy (2013)The Algorithmic Foundations o…Practical Secure Aggregation for Privacy-Preserving Machine Learning (2017)Practical Secure Aggregation …Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures (2015)Model Inversion Attacks that …Secure, privacy-preserving and federated machine learning in medical imaging (2020)Secure, privacy-preserving an…A survey on security and privacy of federated learning (2020)A survey on security and priv…
12 of 12 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY20028,585
Calibrating Noise to Sensitivity in Private Data Analysis20067,210
Differential Privacy20065,337
Privacy-preserving data mining20002,997
L-diversity: privacy beyond k-anonymity20062,385
ACHIEVING k-ANONYMITY PRIVACY PROTECTION USING GENERALIZATION AND SUPPRESSION20021,982
Privacy-preserving data mining20001,709

What cites it, inside the corpus

PaperYearCited
The Algorithmic Foundations of Differential Privacy20134,058
Practical Secure Aggregation for Privacy-Preserving Machine Learning20173,744
Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures20152,885
Secure, privacy-preserving and federated machine learning in medical imaging20201,454
A survey on security and privacy of federated learning20201,393

Links

DOI · OpenAlex record

Topics

Privacy-Preserving Technologies in DataComputer Science
Internet Traffic Analysis and Secure E-votingComputer Science
Privacy, Security, and Data ProtectionSocial Sciences

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports2 author record(s) attached.
  • supports28 reference(s) recorded.
  • supportsThe DOI's year agrees with the publication year.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:49+00:00.

sha256 a2172c1bbe00c44b…