2 citations · 2 across the 9 of their papers we have counts for
9 papers · 1 filter
XSA-MAD: Cross-modal Semantic Alignment for Morphing Attack Detection
Jie Jin, Mahiro Tokumasu, Yu Makino +2
Morphing attacks pose a serious threat to face recognition systems. However, existing image-based morphing attack detection (MAD) methods often generalize poorly to unseen generati…
Face Re-morphing: Differential Morphing Attack Detection via Feature-Space Similarity Changes
Jie Jin, Masakatsu Nishigaki, Tetsushi Ohki
Face morphing attacks pose a serious threat to face recognition systems because a single morphed document image can be matched to multiple contributors. Differential morphing attac…
Leveraging Intermediate Features of Vision Transformer for Face Anti-Spoofing
Mika Feng, Koichi Ito, Takafumi Aoki +2
Face recognition systems are designed to be robust against changes in head pose, illumination, and blurring during image capture. If a malicious person presents a face photo of the…
Enhancing Remote Adversarial Patch Attacks on Face Detectors with Tiling and Scaling
Masora Okano, Koichi Ito, Masakatsu Nishigaki +1
This paper discusses the attack feasibility of Remote Adversarial Patch (RAP) targeting face detectors. The RAP that targets face detectors is similar to the RAP that targets gener…
A Human-Centered Risk Evaluation of Biometric Systems Using Conjoint Analysis
Tetsushi Ohki, Narishige Abe, Hidetsugu Uchida +1
Biometric recognition systems, known for their convenience, are widely adopted across various fields. However, their security faces risks depending on the authentication algorithm…
LabellessFace: Fair Metric Learning for Face Recognition without Attribute Labels
Tetsushi Ohki, Yuya Sato, Masakatsu Nishigaki +1
Demographic bias is one of the major challenges for face recognition systems. The majority of existing studies on demographic biases are heavily dependent on specific demographic g…
Multibiometrics Using a Single Face Image
Koichi Ito, Taito Tonosaki, Takafumi Aoki +2
Multibiometrics, which uses multiple biometric traits to improve recognition performance instead of using only one biometric trait to authenticate individuals, has been investigate…
PDH : Probabilistic deep hashing based on MAP estimation of Hamming distance
Yosuke Kaga, Masakazu Fujio, Kenta Takahashi +2
With the growth of image on the web, research on hashing which enables high-speed image retrieval has been actively studied. In recent years, various hashing methods based on deep…
Cancelable Indexing Based on Low-rank Approximation of Correlation-invariant Random Filtering for Fast and Secure Biometric Identification
Takao Murakami, Tetsushi Ohki, Yosuke Kaga +2
A cancelable biometric scheme called correlation-invariant random filtering (CIRF) is known as a promising template protection scheme. This scheme transforms a biometric feature re…