CVPR2020: paper accepted

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).
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