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20162022
most citedRanking Based Locality Sensitive Hashing Enabled Cancelable Biometrics: Index-of-Max Hashing

221 citations · 243 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2022★ 8 cited

Reconstruct Face from Features Using GAN Generator as a Distribution Constraint

Xingbo Dong, Zhihui Miao, Lan Ma +4

Face recognition based on the deep convolutional neural networks (CNN) shows superior accuracy performance attributed to the high discriminative features extracted. Yet, the securi…

eess.IV2022

Abandoning the Bayer-Filter to See in the Dark

Xingbo Dong, Wanyan Xu, Zhihui Miao +6

Low-light image enhancement - a pervasive but challenging problem, plays a central role in enhancing the visibility of an image captured in a poor illumination environment. Due to…

cs.CV2022★ 4 cited

A Generalized Approach for Cancellable Template and Its Realization for Minutia Cylinder-Code

Xingbo Dong, Zhe Jin, KokSheik Wong

Hashing technology gains much attention in protecting the biometric template lately. For instance, Index-of-Max (IoM), a recent reported hashing technique, is a ranking-based local…

cs.CV2022★ 3 cited

Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition

Hanrui Wang, Shuo Wang, Zhe Jin +3

The majority of adversarial attack techniques perform well against deep face recognition when the full knowledge of the system is revealed (\emph{white-box}). However, such techniq…

cs.CV2020

Multi-spectral Facial Landmark Detection

Jin Keong, Xingbo Dong, Zhe Jin +2

Thermal face image analysis is favorable for certain circumstances. For example, illumination-sensitive applications, like nighttime surveillance; and privacy-preserving demanded a…

cs.CR2020

Interpretable security analysis of cancellable biometrics using constrained-optimized similarity-based attack

Hanrui Wang, Xingbo Dong, Zhe Jin +2

In cancellable biometrics (CB) schemes, template security is achieved by applying, mainly non-linear, transformations to the biometric template. The transformation is designed to p…

cs.CV2019★ 4 cited

On the Risk of Cancelable Biometrics

Xingbo Dong, Jaewoo Park, Zhe Jin +3

Cancelable biometrics (CB) employs an irreversible transformation to convert the biometric features into transformed templates while preserving the relative distance between two te…

cs.CV2019★ 3 cited

A Genetic Algorithm Enabled Similarity-Based Attack on Cancellable Biometrics

Xingbo Dong, Zhe Jin, Andrew Teoh Beng Jin

Cancellable biometrics (CB) as a means for biometric template protection approach refers to an irreversible yet similarity preserving transformation on the original template. With…

cs.CV2018

A Symmetric Keyring Encryption Scheme for Biometric Cryptosystems

Yen-Lung Lai, Jung-Yeon Hwang, Zhe Jin +3

In this paper, we propose a novel biometric cryptosystem for vectorial biometrics named symmetric keyring encryption (SKE) inspired by Rivest's keyring model (2016). Unlike convent…

cs.CV2017★ 221 cited

Ranking Based Locality Sensitive Hashing Enabled Cancelable Biometrics: Index-of-Max Hashing

Zhe Jin, Yen-Lung Lai, Jung-Yeon Hwang +2

In this paper, we propose a ranking based locality sensitive hashing inspired two-factor cancelable biometrics, dubbed "Index-of-Max" (IoM) hashing for biometric template protectio…

cs.CV2016

Rank Correlation Measure: A Representational Transformation for Biometric Template Protection

Zhe Jin, Yen-Lung Lai, Andrew Beng Jin Teoh

Despite a variety of theoretical-sound techniques have been proposed for biometric template protection, there is rarely practical solution that guarantees non-invertibility, cancel…