Who Cited It

Deep Learning with Differential Privacy

2016 · 6,220 citations · 15 from inside this corpus

Martı́n Abadi low, Andy Chu low, Ian Goodfellow, H. Brendan McMahan, Ilya Mironov, Kunal Talwar low, Li Zhang

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.

Deep Learning with Differential Privacy (2016)Deep Learning with Differenti…Glove: Global Vectors for Word Representation (2014)Glove: Global Vectors for Wor…Learning representations by back-propagating errors (1986)Learning representations by b…Efficient Estimation of Word Representations in Vector Space (2013)Efficient Estimation of Word …Mastering the game of Go with deep neural networks and tree search (2016)Mastering the game of Go with…Efficient Estimation of Word Representations in Vector Space (2013)Efficient Estimation of Word …Adaptive Subgradient Methods for Online Learning and Stochastic Optimization (2010)Adaptive Subgradient Methods …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…The Algorithmic Foundations of Differential Privacy (2014)The Algorithmic Foundations o…The Algorithmic Foundations of Differential Privacy (2013)The Algorithmic Foundations o…Privacy-preserving data mining (2000)Privacy-preserving data miningModel Inversion Attacks that Exploit Confidence Information and Basic Countermeasures (2015)Model Inversion Attacks that …Privacy-Preserving Deep Learning (2015)Privacy-Preserving Deep Learn…Accelerating Stochastic Gradient Descent using Predictive Variance Reduction (2013)Accelerating Stochastic Gradi…Our Data, Ourselves: Privacy Via Distributed Noise Generation (2006)Our Data, Ourselves: Privacy …Privacy-preserving data mining (2000)Privacy-preserving data miningFederated Machine Learning (2019)Federated Machine LearningAdvances and Open Problems in Federated Learning (2020)Advances and Open Problems in…Membership Inference Attacks Against Machine Learning Models (2017)Membership Inference Attacks …Practical Secure Aggregation for Privacy-Preserving Machine Learning (2017)Practical Secure Aggregation …Deep learning for healthcare: review, opportunities and challenges (2017)Deep learning for healthcare:…The future of digital health with federated learning (2020)The future of digital health …Federated Learning in Mobile Edge Networks: A Comprehensive Survey (2020)Federated Learning in Mobile …Federated Learning With Differential Privacy: Algorithms and Performance Analysis (2020)Federated Learning With Diffe…SecureML: A System for Scalable Privacy-Preserving Machine Learning (2017)SecureML: A System for Scalab…A survey on federated learning (2021)A survey on federated learningAdversarial Examples: Attacks and Defenses for Deep Learning (2019)Adversarial Examples: Attacks…Privacy-Preserving Deep Learning via Additively Homomorphic Encryption (2017)Privacy-Preserving Deep Learn…Federated Optimization: Distributed Machine Learning for On-Device Intelligence (2016)Federated Optimization: Distr…Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference A… (2019)Comprehensive Privacy Analysi…Federated Learning for Healthcare Informatics (2020)Federated Learning for Health…
31 of 31 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
Glove: Global Vectors for Word Representation201434,067
Learning representations by back-propagating errors198631,688
Efficient Estimation of Word Representations in Vector Space201318,186
Mastering the game of Go with deep neural networks and tree search201616,014
Efficient Estimation of Word Representations in Vector Space201311,714
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization20108,621
k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY20028,585
Calibrating Noise to Sensitivity in Private Data Analysis20067,210
The Algorithmic Foundations of Differential Privacy20144,578
The Algorithmic Foundations of Differential Privacy20134,058
Privacy-preserving data mining20002,997
Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures20152,885
Privacy-Preserving Deep Learning20152,325
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction20131,916
Our Data, Ourselves: Privacy Via Distributed Noise Generation20061,826
Privacy-preserving data mining20001,709

What cites it, inside the corpus

PaperYearCited
Federated Machine Learning20196,228
Advances and Open Problems in Federated Learning20205,383
Membership Inference Attacks Against Machine Learning Models20174,490
Practical Secure Aggregation for Privacy-Preserving Machine Learning20173,744
Deep learning for healthcare: review, opportunities and challenges20173,115
The future of digital health with federated learning20202,933
Federated Learning in Mobile Edge Networks: A Comprehensive Survey20202,538
Federated Learning With Differential Privacy: Algorithms and Performance Analysis20202,357
SecureML: A System for Scalable Privacy-Preserving Machine Learning20171,899
A survey on federated learning20211,847
Adversarial Examples: Attacks and Defenses for Deep Learning20191,786
Privacy-Preserving Deep Learning via Additively Homomorphic Encryption20171,665
Federated Optimization: Distributed Machine Learning for On-Device Intelligence20161,657
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference A…20191,624
Federated Learning for Healthcare Informatics20201,497

Links

DOI · Open access copy · OpenAlex record

Topics

Privacy-Preserving Technologies in DataComputer Science
Adversarial Robustness in Machine LearningComputer Science
Stochastic Gradient Optimization TechniquesComputer Science

Is this record sound?

complete

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

  • supports7 author record(s) attached.
  • supports75 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 2026-09-04T03:58:43+00:00.

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