most citedDifferentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CR2019

Security for Distributed Deep Neural Networks Towards Data Confidentiality & Intellectual Property Protection

Laurent Gomez, Marcus Wilhelm, José Márquez +1

Current developments in Enterprise Systems observe a paradigm shift, moving the needle from the backend to the edge sectors of those; by distributing data, decentralizing applicati…

cs.CR2019★ 1 cited

Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data

Lorenzo Frigerio, Anderson Santana de Oliveira, Laurent Gomez +1

Open data plays a fundamental role in the 21th century by stimulating economic growth and by enabling more transparent and inclusive societies. However, it is always difficult to c…