Date:
Thursday, September 27, 2018
On September 7, 2018, Alberto Ibarrondo (EURECOM) presented the paper FHE-compatible Batch Normalization for Privacy Preserving Deep Learning at the 13th Data Privacy Management International Workshop (DPM 2018) in Barcelona, Spain, during the session Privacy and Cryptography.
The paper proposes a batch normalization layer compatible with fully homomorphic encryption for deep neural networks that improves performance of classification with no loss on accuracy.
This work is supported by PAPAYA.
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