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Access to electronic health record (EHR) data has motivated computational advances in medical research.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald Williams · 1992
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Legal issues concerning electronic health information: privacy, quality, and liability
James Hodge Jr, Lawrence O Gostin, and Peter Jacobson · 1999
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Physiobank, physiotoolkit, and physionet components of a new research resource for complex physiologic signals
Ary Goldberger et al · 2000
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Satisfying disclosure restrictions with synthetic datasets
J. Reiter · 2002
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Disclosure risk assessment in statistical microdata protection via advanced record linkage
Josep Domingo-Ferrer and Vicenç Torra · 2003
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How (not) to protect genomic data privacy in a distributed network: using trail re-identification to evaluate and design anonymity protection systems
B. Malin and L. Sweeney · 2004
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The rate adapting poisson model for information retrieval and object recognition
Peter V Gehler, Alex D Holub, and Max Welling · 2006
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Reducing the dimensionality of data with neural networks
Geoffrey Hinton and Ruslan Salakhutdinov · 2006
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Ta method for generation and distribution
Joseph S Lombardo and Linda J Moniz · 2008
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Extracting and composing robust features with denoising autoencoders
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, and Pierre-Antoine Manzagol · 2008
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Beyond the HIPAA Privacy Rule: Enhancing Privacy, Improving Health Through Research
Lawrence Gostin, Laura Levit, Sharyl Nass, et al · 2009
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Replicated softmax: an undirected topic model
Geoffrey E Hinton and Ruslan R Salakhutdinov · 2009
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Data-driven approach for creating synthetic electronic medical records
Anna Buczak, Steven Babin, and Linda Moniz · 2010
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The disclosure of diagnosis codes can breach research participants’ privacy
G. Loukides, J. C. Denny, and B. Malin · 2010
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δ \delta -presence with complete world knowledge
Mehmet Nergiz and Chris Clifton · 2010
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Synthetic datasets for statistical disclosure control
J Dreschsler · 2011
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Mixed-variate restricted boltzmann machines
Truyen Tran, Dinh Phung, and Svetha Venkatesh · 2011
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Reducing patient re-identification risk for laboratory results within research datasets
R. V. Atreya, J. C. Smith, A. B. McCoy, B. Malin, and R. A. Miller · 2013
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Guidance Regarding Methods for De-identification of Protected Health Information in Accordance with the Health Insurance Portability and Accountability Act (HIPAA) Privacy Rule
Office for Civil Rights · 2013
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Auto-encoding variational bayes
Diederik Kingma and Max Welling · 2013
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Modeling documents with generative adversarial networks
John Glover · 2016
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Nips 2016 tutorial: Generative adversarial networks
Ian Goodfellow · 2016
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Deep Learning
Ian Goodfellow, Yoshua Bengio, and Aaron Courville · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Categorical reparameterization with gumbel-softmax
Eric Jang, Shixiang Gu, and Ben Poole · 2016
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Perturbed gibbs samplers for generating large-scale privacy-safe synthetic health data
Yubin Park, Joydeep Ghosh, and Mallikarjun Shankar · 2013
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Routes for breaching and protecting genetic privacy
Y. Erlich and A. Narayanan · 2014
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2014
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Conditional generative adversarial nets
Mehdi Mirza and Simon Osindero · 2014
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Deep generative image models using a laplacian pyramid of adversarial networks
Emily Denton, Soumith Chintala, Rob Fergus, et al · 2015
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Anonymising and sharing individual patient data
K. El Emam, S. Rodgers, and B. Malin · 2015
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Alistair Johnson et al · 2016
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Gans for sequences of discrete elements with the gumbel-softmax distribution
Matt J Kusner and José Miguel Hernández-Lobato · 2016
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The concrete distribution: A continuous relaxation of discrete random variables
Chris Maddison, Andriy Mnih, and Yee Whye Teh · 2016
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Using the caremap with health incidents statistics for generating the realistic synthetic electronic healthcare record
Scott McLachlan, Kudakwashe Dube, and Thomas Gallagher · 2016
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Unrolled generative adversarial networks
Luke Metz, Ben Poole, David Pfau, and Jascha Sohl-Dickstein · 2016
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Conditional image synthesis with auxiliary classifier gans
Augustus Odena, Christopher Olah, and Jonathon Shlens · 2016
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Generative adversarial text to image synthesis
Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, and Honglak Lee · 2016
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Improved techniques for training gans
Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
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Seqgan: Sequence generative adversarial nets with policy gradient
Lantao Yu, Weinan Zhang, Jun Wang, and Yong Yu · 2016
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Generating text via adversarial training
Yizhe Zhang, Zhe Gan, and Lawrence Carin · 2016
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Membership inference attacks against machine learning models
Reza Shokri, Marco Stronati, Congzheng Song, and Vitaly Shmatikov · 2017
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