The following paper has been accepted for presentation in the Computer Vision and Pattern Recognition (CVPR) 2020 (Acceptance rate 22.1%=1470/6656)．
This work is in collaboration with the JSPS visiting scholar Associate Professor Yiyu Shi from the University of Notre Dame.
- Song Bian, Tianchen Wang, Masayuki Hiromoto, Yiyu Shi, and Takashi Sato:
“ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition,” in Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Seattle, USA), June 2020 (to appear).