Results 51 to 60 of about 27,114 (224)
Spoofing Herzog and Herzog Spoofing [PDF]
Transit, 2010 This essay explores how humor, parody, and self-parody have shaped and reshaped the public image of the filmmaker Werner Herzog, especially since the 1990s and with the help of various spectators, particularly those who create and circulate their own images of the iconic German director. To see this dynamic at work, we have to look not only at Herzog’s
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SLIP: Spoof-Aware One-Class Face Anti-Spoofing with Language Image Pretraining [PDF]
AAAI Conference on Artificial IntelligenceFace anti-spoofing (FAS) plays a pivotal role in ensuring the security and reliability of face recognition systems. With advancements in vision-language pretrained (VLP) models, recent two-class FAS techniques have leveraged the advantages of using VLP ...
Pei-Kai Huang +5 more
semanticscholar +1 more source
Calculation of the lower limit of the spoofing-signal ratio for a GNSS receiver-spoofer
EURASIP Journal on Wireless Communications and Networking, 2018 A receiver-spoofer is one of the most covert global navigation satellite system (GNSS) spoofing attacks and can only be effectively detected by the combination of multiple anti-spoofing technologies.
Meng Zhou, Hong Li, Mingquan Lu
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XLSR-Mamba: A Dual-Column Bidirectional State Space Model for Spoofing Attack Detection [PDF]
IEEE Signal Processing LettersTransformers and their variants have achieved great success in speech processing. However, their multi-head self-attention mechanism is computationally expensive.
Yang Xiao, Rohan Kumar Das
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Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Face anti-spoofing is crucial to prevent face recognition systems from a security breach. Previous deep learning approaches formulate face anti-spoofing as a binary classification problem.
Yaojie Liu, Amin Jourabloo, Xiaoming Liu
semanticscholar +1 more source
One-Class Knowledge Distillation for Spoofing Speech Detection [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023 The detection of spoofing speech generated by unseen algorithms remains an unresolved challenge. One reason for the lack of generalization ability is that traditional detecting systems follow the binary classification paradigm, which inherently assumes ...
Jingze Lu +4 more
semanticscholar +1 more source
Synthetic GNSS spoofing data generation using field recorded signals
MethodsX, 2018 With the increase in GNSS user base, the studies of threats and vulnerabilities of GNSS system are also increased. Among the threats, spoofing is of particular interest because of the risk associated with it. The studies on spoofing are generally limited
Abdul Malik Khan +2 more
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Spoof, Bluff, Go For It: A Defence of Spoofing
Journal of Business Ethics, 2022 AbstractSpoofing—placing orders on financial exchanges intending to withdraw them prior to execution—is widely legally prohibited. I argue instead on two main grounds that spoofing should be permitted and legalised. The first is that spoofing as a form of bluffing remains within the market practice of making legally binding offers—as opposed to lying ...
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SHIELD: an evaluation benchmark for face spoofing and forgery detection with multimodal large language models [PDF]
Visual IntelligenceMultimodal large language models (MLLMs) have demonstrated strong capabilities in vision-related tasks, capitalizing on their visual semantic comprehension and reasoning capabilities.
Yichen Shi +9 more
semanticscholar +1 more source
Spoofing and Anti-Spoofing with Wax Figure Faces
CoRR, 2019 We have witnessed rapid advances in both face presentation attack models and presentation attack detection (PAD) in recent years. Compared to widely studied 2D face presentation attacks (e.g. printed photos and video replays), 3D face presentation attacks are more challenging because face recognition systems (FRS) is more easily confused by the 3D ...
Shan Jia +3 more
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