Who Cited It

Privacy-preserving data mining

2000 · ACM SIGMOD Record · 2,997 citations · 12 from inside this corpus

Rakesh Agrawal, Ramakrishnan Srikant

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.

Privacy-preserving data mining (2000)Privacy-preserving data miningClassification and Regression Trees. (1986)Classification and Regression…Calibrating Noise to Sensitivity in Private Data Analysis (2006)Calibrating Noise to Sensitiv…Federated Machine Learning (2019)Federated Machine LearningDeep Learning with Differential Privacy (2016)Deep Learning with Differenti…Advances and Open Problems in Federated Learning (2020)Advances and Open Problems in…Differential Privacy (2006)Differential PrivacyL -diversity (2007)L -diversityDifferential Privacy: A Survey of Results (2008)Differential Privacy: A Surve…L-diversity: privacy beyond k-anonymity (2006)L-diversity: privacy beyond k…Robust De-anonymization of Large Sparse Datasets (2008)Robust De-anonymization of La…Anonymous Usage of Location-Based Services Through Spatial and Temporal Cloaking (2003)Anonymous Usage of Location-B…Our Data, Ourselves: Privacy Via Distributed Noise Generation (2006)Our Data, Ourselves: Privacy …Privacy-preserving data publishing (2010)Privacy-preserving data publi…
13 of 13 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
Classification and Regression Trees.198621,044

What cites it, inside the corpus

PaperYearCited
Calibrating Noise to Sensitivity in Private Data Analysis20067,210
Federated Machine Learning20196,228
Deep Learning with Differential Privacy20166,220
Advances and Open Problems in Federated Learning20205,383
Differential Privacy20065,337
L -diversity20073,628
Differential Privacy: A Survey of Results20083,392
L-diversity: privacy beyond k-anonymity20062,385
Robust De-anonymization of Large Sparse Datasets20082,349
Anonymous Usage of Location-Based Services Through Spatial and Temporal Cloaking20032,290
Our Data, Ourselves: Privacy Via Distributed Noise Generation20061,826
Privacy-preserving data publishing20101,651

Links

DOI · OpenAlex record

Topics

Privacy-Preserving Technologies in DataComputer Science
Data Quality and ManagementDecision Sciences
Anomaly Detection Techniques and ApplicationsComputer Science

Is this record sound?

complete

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

  • supports2 author record(s) attached.
  • supports42 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 2026-09-04T03:58:47+00:00.

sha256 a08467ae9504f237…