12 citations · 14 across the 15 of their papers we have counts for
15 papers
Asymmetric Invertible Threat: Learning Reversible Privacy Defense for Face Recognition
Jiabei Zhang, Ziyuan Yang, Andrew Beng Jin Teoh +1
Face Recognition systems are widely deployed in real-world applications, but they also raise privacy concerns due to unauthorized collection and misuse of facial data. Existing adv…
PalmBridge: A Plug-and-Play Feature Alignment Framework for Open-Set Palmprint Verification
Chenke Zhang, Ziyuan Yang, Licheng Yan +4
Palmprint recognition is widely used in biometric systems, yet real-world performance often degrades due to feature distribution shifts caused by heterogeneous deployment condition…
LURE: Latent Space Unblocking for Multi-Concept Reawakening in Diffusion Models
Mengyu Sun, Ziyuan Yang, Andrew Beng Jin Teoh +3
Concept erasure aims to suppress sensitive content in diffusion models, but recent studies show that erased concepts can still be reawakened, revealing vulnerabilities in erasure m…
Federated Learning for Large Models in Medical Imaging: A Comprehensive Review
Mengyu Sun, Ziyuan Yang, Yongqiang Huang +5
Artificial intelligence (AI) has demonstrated considerable potential in the realm of medical imaging. However, the development of high-performance AI models typically necessitates…
Palmprint De-Identification Using Diffusion Model for High-Quality and Diverse Synthesis
Licheng Yan, Bob Zhang, Andrew Beng Jin Teoh +4
Palmprint recognition techniques have advanced significantly in recent years, enabling reliable recognition even when palmprints are captured in uncontrolled or challenging environ…
TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection
Yoon Gyo Jung, Jaewoo Park, Jaeho Yoon +4
We aim to solve unsupervised anomaly detection in a practical challenging environment where the normal dataset is both contaminated with defective regions and its product class dis…
Deep Learning in Palmprint Recognition-A Comprehensive Survey
Chengrui Gao, Ziyuan Yang, Wei Jia +3
Palmprint recognition has emerged as a prominent biometric technology, widely applied in diverse scenarios. Traditional handcrafted methods for palmprint recognition often fall sho…
Cross-Chirality Palmprint Verification: Left is Right for the Right Palmprint
Chengrui Gao, Ziyuan Yang, Tiong-Sik Ng +2
Palmprint recognition has emerged as a prominent biometric authentication method, owing to its high discriminative power and user-friendly nature. This paper introduces a novel Cro…
WiFaKey: Generating Cryptographic Keys from Face in the Wild
Xingbo Dong, Hui Zhang, Yen Lung Lai +4
Deriving a unique cryptographic key from biometric measurements is a challenging task due to the existing noise gap between the biometric measurements and error correction coding.…
Face Reconstruction Transfer Attack as Out-of-Distribution Generalization
Yoon Gyo Jung, Jaewoo Park, Xingbo Dong +3
Understanding the vulnerability of face recognition systems to malicious attacks is of critical importance. Previous works have focused on reconstructing face images that can penet…
Beyond First-Order: A Multi-Scale Approach to Finger Knuckle Print Biometrics
Chengrui Gao, Ziyuan Yang, Andrew Beng Jin Teoh +1
Recently, finger knuckle prints (FKPs) have gained attention due to their rich textural patterns, positioning them as a promising biometric for identity recognition. Prior FKP reco…
A Dual-Level Cancelable Framework for Palmprint Verification and Hack-Proof Data Storage
Ziyuan Yang, Ming Kang, Andrew Beng Jin Teoh +4
In recent years, palmprints have been widely used for individual verification. The rich privacy information in palmprint data necessitates its protection to ensure security and pri…
Energizing Federated Learning via Filter-Aware Attention
Ziyuan Yang, Zerui Shao, Huijie Huangfu +5
Federated learning (FL) is a promising distributed paradigm, eliminating the need for data sharing but facing challenges from data heterogeneity. Personalized parameter generation…
Understanding the Feature Norm for Out-of-Distribution Detection
Jaewoo Park, Jacky Chen Long Chai, Jaeho Yoon +1
A neural network trained on a classification dataset often exhibits a higher vector norm of hidden layer features for in-distribution (ID) samples, while producing relatively lower…
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…