| Title | Protecting Personal Information using Homomorphic Encryption for Person Re-identification |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Morita, Kazunari, Yoshimura, Hiroki, Nishiyama, Masashi, Iwai, Yoshio |
| Conference Name | 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE) |
| Keywords | authentication, Cameras, cryptography, data protection, decryption, Encryption, feature extraction, homomorphic encryption, human factors, image matching, linear quantization, Metrics, people matching, Person re-identification, personal information, personal information protection, pubcrawl, quantisation (signal), Quantization (signal), Resiliency, Scalability, Servers |
| Abstract | We investigate how to protect features corresponding to personal information using homomorphic encryption when matching people in several camera views. Homomorphic encryption can compute a distance between features without decryption. Thus, our method is able to use a computing server on a public network while protecting personal information. To apply homomorphic encryption, our method uses linear quantization to represent each element of the feature as integers. Experimental results show that there is no significant difference in the accuracy of person re-identification with or without homomorphic encryption and linear quantization. |
| DOI | 10.1109/GCCE.2018.8574615 |
| Citation Key | morita_protecting_2018 |
Protecting Personal Information using Homomorphic Encryption for Person Re-identification