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Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-5181-0
Abstract: Automatic speaker verification (ASV) systems are highly vulnerable against spoofing attacks. Anti-spoofing, determining whether a speech signal is natural/genuine or spoofed, is very important for improving the reliability of the ASV systems. Spoofing attacks using…
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Keywords:
anti spoofing;
linear prediction;
automatic speaker;
speaker verification ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2970203
Abstract: Due to openness and lack of authentication, like other members of the Global Navigation Satellite System (GNSS) Club, BeiDou-II civilian navigation signals are vulnerable to all kinds of spoofing attacks. As a result, both the…
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Keywords:
navigation message;
beidou navigation;
authentication;
anti spoofing ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3242654
Abstract: Face anti-spoofing (FAS) is a technology that protects face recognition systems from presentation attacks. The current challenge faced by FAS studies is the difficulty in creating a generalized light variation model. This is because face…
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Keywords:
cloudnet;
anti spoofing;
model;
face anti ... See more keywords
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Published in 2023 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3251895
Abstract: End-to-end technology is an active research topic in speech anti-spoofing. Although end-to-end methods have achieved remarkable success in the speech anti-spoofing, channel effects brought by telephony transmission and certain challenging forms of spoofing attacks still…
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Keywords:
end end;
frequency information;
speech;
speech anti ... See more keywords
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Published in 2022 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2022.3158062
Abstract: Face anti-spoofing (FAS) is essential for securing face recognition systems. Despite the decent performance, few existing works fully leverage temporal information. This would inevitably lead to inferior performance because real and fake faces tend to…
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Keywords:
multi granularity;
face anti;
granularity temporal;
temporal characteristics ... See more keywords
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Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3176387
Abstract: Prior studies show that the key to face anti-spoofing lies in the subtle image patterns, termed “spoof trace,” e.g., color distortion, 3D mask edge, and Moiré pattern. Spoof detection rooted on those spoof traces can…
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Keywords:
spoof;
spoof traces;
spoof trace;
trace ... See more keywords
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Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3174406
Abstract: Vehicle and airborne navigation users are facing more and more complex signal interference and even spoofing. If vehicles and aircraft do not strengthen their anti-spoofing ability, their navigation performance is bound to be adversely affected.…
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Keywords:
spoofing techniques;
coupled gnss;
anti spoofing;
tightly coupled ... See more keywords
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Published in 2021 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.30.2.023023
Abstract: Abstract. Neural networks are vulnerable to various adversarial perturbations added to the input. Highly sparse adversarial perturbations are difficult to identify, which is especially dangerous to network security. Previous research has shown that ℓ0-norm has…
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Keywords:
neural networks;
attack;
anti spoofing;
sparse adversarial ... See more keywords
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Published in 2022 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.31.1.013007
Abstract: Abstract. Face anti-spoofing (FAS) is crucial for safe and reliable biometric systems. In recent years, deep neural networks have been proven to be very effective for FAS as compared with classical approaches. However, deep learning-based…
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Keywords:
difference network;
face anti;
anti spoofing;
binary facial ... See more keywords