June 8, 2022, 1:11 a.m. | Huiyu Li, Nicholas Ayache, Hervé Delingette

cs.LG updates on arXiv.org arxiv.org

In privacy-preserving machine learning, it is common that the owner of the
learned model does not have any physical access to the data. Instead, only a
secured remote access to a data lake is granted to the model owner without any
ability to retrieve data from the data lake. Yet, the model owner may want to
export the trained model periodically from the remote repository and a question
arises whether this may cause is a risk of data leakage. In …

arxiv data data lakes images medical networks

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne