Authors
Martín Abadi, Andy Chu, Ian Goodfellow, H Brendan McMahan, Ilya Mironov, Kunal Talwar, Li Zhang
Publication date
2016/7/1
Journal
arXiv preprint arXiv:1607.00133
Description
Abstract: Machine learning techniques based on neural networks are achieving remarkable
results in a wide variety of domains. Often, the training of models requires large,
representative datasets, which may be crowdsourced and contain sensitive information. The
models should not expose private information in these datasets. Addressing this goal, we
develop new algorithmic techniques for learning and a refined analysis of privacy costs
within the framework of differential privacy. Our implementation and experiments ...
Total citations
20162
Scholar articles
M Abadi, A Chu, I Goodfellow, HB McMahan, I Mironov… - arXiv preprint arXiv:1607.00133, 2016