@inproceedings{901d904cb7a54319a02a1d620663f6e3,
title = "Anonymized distance filter in hamming space",
abstract = "Search algorithms typically involve intensive distance computations and comparisons. In privacy-aware applications such as biometric identification, exposing the distance information may lead to compromise of sensitive data that have privacy and security implications. In this paper, we design an anonymized distance filter that can test and rank instances in a Hamming-ball search without knowing explicit distance values. We demonstrate the effectiveness of our method on both simulated and real data sets in the context of biometric identification.",
keywords = "Distance obfuscation, Filtering, Hamming-ball search",
author = "Yi WANG and Jianwu Wan and CHEUNG, {Yiu Ming} and YUEN, {Pong Chi}",
note = "Funding Information: This work was supported by Hong Kong Research Grant Council (HKBU12202214) and National Natural Science Foundation of China (61403324 and 61502058).; 11th Chinese Conference on Biometric Recognition, CCBR 2016 ; Conference date: 14-10-2016 Through 16-10-2016",
year = "2016",
doi = "10.1007/978-3-319-46654-5_73",
language = "English",
isbn = "9783319466538",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "663--671",
editor = "Shiguang Shan and Zhisheng You and Jie Zhou and Weishi Zheng and Yunhong Wang and Zhenan Sun and Jianjiang Feng and Qijun Zhao",
booktitle = "Biometric Recognition - 11th Chinese Conference, CCBR 2016, Proceedings",
address = "Germany",
}