Secure Human Action Recognition by Encrypted Neural Network Inference. (arXiv:2104.09164v2 [cs.CR] UPDATED)

Advanced computer vision technology can provide near real-time home
monitoring to support "aging in place" by detecting falls and symptoms related
to seizures and stroke. Affordable webcams, together with cloud computing
services (to run machine learning algorithms), can potentially bring
significant social benefits. However, it has not been deployed in practice
because of privacy concerns. In this paper, we propose a strategy that uses
homomorphic encryption to resolve this dilemma, which guarantees information
confidentiality while retaining action detection. Our protocol …

action encrypted human network neural network recognition