Who Cited It

Our Data, Ourselves: Privacy Via Distributed Noise Generation

2006 · Lecture notes in computer science · 1,826 citations · 7 from inside this corpus

Cynthia Dwork, Krishnaram Kenthapadi, Frank McSherry, Ilya Mironov, Moni Naor

No abstract in the source record.

Our Data, Ourselves: Privacy Via Distributed Noise Generation (2006)Our Data, Ourselves: Privacy …Calibrating Noise to Sensitivity in Private Data Analysis (2006)Calibrating Noise to Sensitiv…The Byzantine Generals Problem (1982)The Byzantine Generals ProblemProtocols for secure computations (1982)Protocols for secure computat…Privacy-preserving data mining (2000)Privacy-preserving data miningProtocols for secure computations (1982)Protocols for secure computat…Foundations of Cryptography (2004)Foundations of CryptographyFoundations of Cryptography: Volume 2, Basic Applications (2004)Foundations of Cryptography: …Deep Learning with Differential Privacy (2016)Deep Learning with Differenti…Advances and Open Problems in Federated Learning (2020)Advances and Open Problems in…The Algorithmic Foundations of Differential Privacy (2013)The Algorithmic Foundations o…Practical Secure Aggregation for Privacy-Preserving Machine Learning (2017)Practical Secure Aggregation …Differential Privacy: A Survey of Results (2008)Differential Privacy: A Surve…RAPPOR (2014)RAPPORFederated Learning for Healthcare Informatics (2020)Federated Learning for Health…
14 of 14 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
The Byzantine Generals Problem19826,037
Protocols for secure computations19823,069
Privacy-preserving data mining20002,997
Protocols for secure computations19822,727
Foundations of Cryptography20041,795
Foundations of Cryptography: Volume 2, Basic Applications20041,611

What cites it, inside the corpus

PaperYearCited
Deep Learning with Differential Privacy20166,220
Advances and Open Problems in Federated Learning20205,383
The Algorithmic Foundations of Differential Privacy20134,058
Practical Secure Aggregation for Privacy-Preserving Machine Learning20173,744
Differential Privacy: A Survey of Results20083,392
RAPPOR20141,548
Federated Learning for Healthcare Informatics20201,497

Links

DOI · OpenAlex record

Topics

Privacy-Preserving Technologies in DataComputer Science
Cryptography and Data SecurityComputer Science
Vehicular Ad Hoc Networks (VANETs)Engineering

Is this record sound?

complete

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

  • supports5 author record(s) attached.
  • supports31 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 2026-09-04T03:58:53+00:00.

sha256 db1645b78a57e29a…