Articles with "anti spoofing" as a keyword



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Linear prediction residual features for automatic speaker verification anti-spoofing

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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… read more here.

Keywords: anti spoofing; linear prediction; automatic speaker; speaker verification ... See more keywords
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BD-II NMA&SSI: An Scheme of Anti-Spoofing and Open BeiDou II D2 Navigation Message Authentication

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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… read more here.

Keywords: navigation message; beidou navigation; authentication; anti spoofing ... See more keywords
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CloudNet: A LiDAR-Based Face Anti-Spoofing Model That Is Robust Against Light Variation

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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… read more here.

Keywords: cloudnet; anti spoofing; model; face anti ... See more keywords
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Discriminative Frequency Information Learning for End-to-End Speech Anti-Spoofing

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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… read more here.

Keywords: end end; frequency information; speech; speech anti ... See more keywords
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Learning Multi-Granularity Temporal Characteristics for Face Anti-Spoofing

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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… read more here.

Keywords: multi granularity; face anti; granularity temporal; temporal characteristics ... See more keywords
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Spoof Trace Disentanglement for Generic Face Anti-Spoofing

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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… read more here.

Keywords: spoof; spoof traces; spoof trace; trace ... See more keywords
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A Slowly Varying Spoofing Algorithm Avoiding Tightly-coupled GNSS/IMU with Multiple Anti-spoofing Techniques

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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.… read more here.

Keywords: spoofing techniques; coupled gnss; anti spoofing; tightly coupled ... See more keywords
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Sparse adversarial attack based on ℓq-norm for fooling the face anti-spoofing neural networks

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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… read more here.

Keywords: neural networks; attack; anti spoofing; sparse adversarial ... See more keywords
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Face anti-spoofing with local difference network and binary facial mask supervision

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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… read more here.

Keywords: difference network; face anti; anti spoofing; binary facial ... See more keywords