2017/08/09 by Xin Jin, Jin, Xin, Shiming Ge +3
Computer Science · #Advanced Steganography and Watermarking Techniques #Biometric Identification and Security #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Face recognition and analysis #cs.CR #cs.CV
paper · pdf · doi:10.48550/arxiv.1708.02872
Abuse Preventive Data Mining (APDM2017, IJCAI Workshop), 19-25 August, 2017 Melbourne, Australia
arxiv created 2017/08/09 · openalex publication_date 2017/08/09 · arxiv updated 2017/08/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Recently, cloud storage and processing have been widely adopted. Mobile users in one family or one team may automatically backup their photos to the same shared cloud storage space. The powerful face detector trained and provided by a 3rd party may be used to retrieve the photo collection which contains a specific group of persons from the cloud storage server. However, the privacy of the mobile users may be leaked to the cloud server providers. In the meanwhile, the copyright of the face detector should be protected. Thus, in this paper, we propose a protocol of privacy preserving face retrieval in the cloud for mobile users, which protects the user photos and the face detector simultaneously. The cloud server only provides the resources of storage and computing and can not learn anything of the user photos and the face detector. We test our protocol inside several families and classes. The experimental results reveal that our protocol can successfully retrieve the proper photos from the cloud server and protect the user photos and the face detector.