Results 71 to 80 of about 1,945,240 (165)
This work presents an ultrathin terahertz metamaterial absorber that achieves broadband and polarization‐insensitive performance through multimode spoof‐plasmon resonances and tunable indium tin oxide loss engineering. The absorber offers near‐Rozanov‐limit thickness and optical transparency, enabling integration into compact and multifunctional THz ...
Jinlin Mu +8 more
wiley +1 more source
Data Quality as Predictor of Voice Anti-Spoofing Generalization
International audienceVoice anti-spoofing aims at classifying a given utterance either as a bonafide human sample, or a spoofing attack (e.g. synthetic or replayed sample). Many anti-spoofing methods have been proposed but most of them fail to generalize
Sahidullah, Md +3 more
core +1 more source
ABSTRACT Unarguably, malware and their variants have metamorphosed into objects of attack and cyber warfare. These issues have directed research focus to modeling infrastructural settings and infection scenarios, analyzing propagation mechanisms, and conducting studies that highlight optimized remedial measures.
Chukwunonso Henry Nwokoye
wiley +1 more source
The journal retracts the article titled “A Survey of GNSS Spoofing and Anti-Spoofing Technology” [...]
Lianxiao Meng +3 more
doaj +1 more source
Robustness Analysis of Distributed CNN Model Training in Expression Recognition
Facial expression recognition is vital in pattern recognition and affective computing. With the advancement of deep learning, its performance has improved, yet challenges remain in nonlaboratory environments due to occlusion, poor lighting, and varying head poses.
Jun Li, Jun Wan
wiley +1 more source
Unified Physical–Digital Face Attack Detection Challenge: A Review
Face antispoofing (FAS) technologies play a pivotal role in safeguarding face recognition (FR) systems against potential security loopholes. The biometric community has witnessed significant advancements lately, largely due to the exceptional performance of deep learning architectures and the abundance of substantial datasets.
Junze Zheng +12 more
wiley +1 more source
Generalized multi-modal for face anti-spoofing
In recent years, the research community has developed and proposed various face anti-spoofing models that involves multiple modalities.
Muhammad Hazeeq Abdul Rahman
core
One-Class Learning Method Based on Live Correlation Loss for Face Anti-Spoofing
As biometric authentication systems are popularly used in various mobile devices, e.g., smart-phones and tablets, face anti-spoofing methods have been actively developed for the high-level security.
Seokjae Lim +4 more
doaj +1 more source
ABSTRACT With the rapid proliferation of unmanned aerial vehicles (UAVs) in the military, logistics and public safety sectors, the threat of illegal intrusion, information theft, and security breaches has increased. This paper provides a comprehensive review of recent developments in counter‐unmanned aerial vehicle (counter‐UAV) systems, focussing on ...
Lei Xing, Can Cui, Miao Wang, Chao Xu
wiley +1 more source
Central bank digital currencies (CBDCs) are increasingly being explored as a means to enhance financial inclusion, reduce transaction costs and modernise payment systems. However, their design and implementation pose significant challenges, particularly in emerging economies such as Tanzania, where security risks, infrastructural constraints and ...
Godbless Gibson Minja +3 more
wiley +1 more source

