Who Cited It

Differential Privacy

2006 · Lecture notes in computer science · 5,337 citations · 11 from inside this corpus

Cynthia Dwork

No abstract in the source record.

Differential Privacy (2006)Differential PrivacyCalibrating Noise to Sensitivity in Private Data Analysis (2006)Calibrating Noise to Sensitiv…Privacy-preserving data mining (2000)Privacy-preserving data miningACHIEVING 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 …Fairness through awareness (2012)Fairness through awarenessDifferential Privacy: A Survey of Results (2008)Differential Privacy: A Surve…Deep learning for healthcare: review, opportunities and challenges (2017)Deep learning for healthcare:…Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures (2015)Model Inversion Attacks that …Decentralizing Privacy: Using Blockchain to Protect Personal Data (2015)Decentralizing Privacy: Using…Robust De-anonymization of Large Sparse Datasets (2008)Robust De-anonymization of La…Privacy-Preserving Deep Learning (2015)Privacy-Preserving Deep Learn…Privacy-preserving data publishing (2010)Privacy-preserving data publi…A survey on security and privacy of federated learning (2020)A survey on security and priv…
15 of 15 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.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Calibrating Noise to Sensitivity in Private Data Analysis20067,210
Privacy-preserving data mining20002,997
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
Fairness through awareness20123,476
Differential Privacy: A Survey of Results20083,392
Deep learning for healthcare: review, opportunities and challenges20173,115
Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures20152,885
Decentralizing Privacy: Using Blockchain to Protect Personal Data20152,568
Robust De-anonymization of Large Sparse Datasets20082,349
Privacy-Preserving Deep Learning20152,325
Privacy-preserving data publishing20101,651
A survey on security and privacy of federated learning20201,393

Links

DOI · OpenAlex record

Topics

Privacy-Preserving Technologies in DataComputer Science
Cryptography and Data SecurityComputer 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.

  • supports1 author record(s) attached.
  • supports19 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:44+00:00.

sha256 648f8491aaceaa34…