Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?. (arXiv:2206.03391v1 [cs.CR])

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 …

attack data data lakes export images medical networks safe stealing