Search Results for author:
Found 2 papers, 0 papers with code
Bayesian crack detection in ultra high resolution multimodal images of paintings
The preservation of our cultural heritage is of paramount importance.
Conditionals in Homomorphic Encryption and Machine Learning Applications
In this work we assess the possibility for homomorphic encryption to fully implement its program without relying on other techniques, such as multiparty computation (SMPC), which may be impossible in many use cases (for instance due to the high level of communication required).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
