Oblivious multi-party machine learning on trusted processors

Author(s): O Ohrimenko, F. SCHUSTER, C. Fournet, A. MEHTA, S Nowozin, K Vaswani, M. COSTA

Publication date: 2016

Read this book at

Bookmark

There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience.

Related collections

Data availability:

Comments

Comment on this book

Cited by 4

A training-integrity privacy-preserving federated learning scheme with trusted execution environment
Authors: Yu Chen, Fang Luo, Tong Li …
Privacy-preserving semi-parallel logistic regression training with fully homomorphic encryption
Authors: Sergiu Carpov, Nicolas Gama, Mariya Georgieva …
Research Challenges at the Intersection of Big Data, Security and Privacy
Authors: Murat Kantarcioglu, Elena Ferrari

See all cited by