Who Cited It

Privacy-Preserving Deep Learning

2015 · 2,325 citations · 13 from inside this corpus

Reza Shokri, 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.

Privacy-Preserving Deep Learning (2015)Privacy-Preserving Deep Learn…Dropout: a simple way to prevent neural networks from overfitting (2014)Dropout: a simple way to prev…Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou… (2012)Deep Neural Networks for Acou…Machine learning a probabilistic perspective (2012)Machine learning a probabilis…Speech recognition with deep recurrent neural networks (2013)Speech recognition with deep …Adaptive Subgradient Methods for Online Learning and Stochastic Optimization (2010)Adaptive Subgradient Methods …Learning Deep Architectures for AI (2009)Learning Deep Architectures f…Differential Privacy (2006)Differential PrivacyLearning Deep Architectures for AI (2009)Learning Deep Architectures f…The Algorithmic Foundations of Differential Privacy (2014)The Algorithmic Foundations o…The Algorithmic Foundations of Differential Privacy (2013)The Algorithmic Foundations o…Learning Internal Representations by Error Propagation (1988)Learning Internal Representat…Deep Speech: Scaling up end-to-end speech recognition (2014)Deep Speech: Scaling up end-t…Federated Machine Learning (2019)Federated Machine LearningDeep Learning with Differential Privacy (2016)Deep Learning with Differenti…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…Prefix-Tuning: Optimizing Continuous Prompts for Generation (2021)Prefix-Tuning: Optimizing Con…SecureML: A System for Scalable Privacy-Preserving Machine Learning (2017)SecureML: A System for Scalab…Privacy-Preserving Deep Learning via Additively Homomorphic Encryption (2017)Privacy-Preserving Deep Learn…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…
25 of 25 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
Dropout: a simple way to prevent neural networks from overfitting201434,236
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…201210,399
Machine learning a probabilistic perspective20129,324
Speech recognition with deep recurrent neural networks20138,916
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization20108,621
Learning Deep Architectures for AI20096,951
Differential Privacy20065,337
Learning Deep Architectures for AI20095,077
The Algorithmic Foundations of Differential Privacy20144,578
The Algorithmic Foundations of Differential Privacy20134,058
Learning Internal Representations by Error Propagation19883,036
Deep Speech: Scaling up end-to-end speech recognition20141,519

What cites it, inside the corpus

PaperYearCited
Federated Machine Learning20196,228
Deep Learning with Differential Privacy20166,220
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
Prefix-Tuning: Optimizing Continuous Prompts for Generation20212,322
SecureML: A System for Scalable Privacy-Preserving Machine Learning20171,899
Privacy-Preserving Deep Learning via Additively Homomorphic Encryption20171,665
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference A…20191,624
Federated Learning for Healthcare Informatics20201,497

Links

DOI · OpenAlex record

Topics

Privacy-Preserving Technologies in DataComputer Science
Adversarial Robustness in Machine LearningComputer Science
Artificial Intelligence in Healthcare and EducationMedicine

Is this record sound?

complete

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

  • supports2 author record(s) attached.
  • supports66 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 2026-09-04T03:58:50+00:00.

sha256 86a6d6715ff540a0…