Martín Abadi
At Google since 2014; first author of the TensorFlow papers; emeritus at UC Santa Cruz
Martín Abadi has been at Google since November 2014, according to Google's research profile, and is emeritus at UC Santa Cruz. Abadi is the first author of the TensorFlow white paper, which describes the system built at Google and its open-source release under the Apache 2.0 license, and of the 2016 paper TensorFlow: A system for large-scale machine learning. Abadi is also first author of Deep Learning with Differential Privacy (2016), which develops techniques for training deep neural networks under a modest privacy budget.12345
Work
TensorFlowOpen-source code
First author of the TensorFlow white paper and of the 2016 paper TensorFlow: A system for large-scale machine learning; the white paper describes the interface and implementation built at Google and their open-source release under the Apache 2.0 license.341
Deep learning with differential privacy (external site: arxiv.org)Published research
First author of the 2016 paper that develops algorithmic techniques and a refined analysis of privacy costs for training deep neural networks within the framework of differential privacy.5
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