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Automatic Speaker Verification Spoofing and Countermeasures Challenge (ASVspoof 2015) Database
, 2018 The database has been used in the first Automatic Speaker Verification Spoofing and Countermeasures Challenge (ASVspoof 2015). Genuine speech is collected from 106 speakers (45 male, 61 female) and with no significant channel or background noise effects ...
Junichi Yamagishi, University of Edinburgh +3 more
core +1 more source
Modality-Shared Anti-Spoofing for Face and Fingerprint
ComputersMulti-modal anti-spoofing aims to differentiate live users from spoofing attacks using multiple biometric modalities during model training. While existing anti-spoofing methods often incorporate just one biometric modality, the effectiveness of attacking
Mohamed Cheniti +2 more
doaj +1 more source
Journal of Field Robotics, Volume 43, Issue 3, Page 2254-2341, May 2026.ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong +13 more
wiley +1 more source
GPS spoofing and anti-spoofing
, 2022 Global Positioning System (GPS) is a satellite-based radionavigation system, and it provides its end-users with several services including navigation, real-time positioning, and timing services [1].
Low, Jin Hong
core
On the Optimal Selection of Mel‐Frequency Cepstral Coefficients for Voice Deepfake Detection
Expert Systems, Volume 43, Issue 5, May 2026.ABSTRACT The continuous evolution of techniques for generating manipulated audio, known as voice deepfakes, and the widespread availability of tools that produce convincing forgeries have created an urgent need for reliable detection methods. This work considers the dimensionality of Mel‐Frequency Cepstral Coefficients (MFCCs) as a core design variable
Sergio A. Falcón‐López +3 more
wiley +1 more source
Face anti‐spoofing from the perspective of data sampling
Electronics Letters, 2023 Without deploying face anti‐spoofing countermeasures, face recognition systems can be spoofed by presenting a printed photo, a video, or a silicon mask of a genuine user.
Usman Muhammad, Mourad Oussalah
doaj +1 more source
A Probability‐Aware AI Framework for Reliable Anti‐Jamming Communication
CAAI Transactions on Intelligence Technology, Volume 11, Issue 2, Page 349-366, April 2026.ABSTRACT Adversarial jamming attacks have increased on communication systems, causing distortion and threatening transmissions. Typical attacks rely on traditional, well‐defined cryptographic protocols and frequency‐hopping techniques. Nevertheless, these techniques become vulnerable when facing intelligent jammers.
Tawfeeq Shawly, Ahmed A. Alsheikhy
wiley +1 more source
Liveness Detection Using Gaze Collinearity [PDF]
, 2012 This paper presents a liveness detection method based on tracking the gaze of the user of a face recognition system using a single camera. The user is required to follow a visual animation of a moving object on a display screen while his/her gaze is ...
Ali, Asad +5 more
core +1 more source
Face Anti-Spoofing : Detection, Generalization, and Visualization [PDF]
, 2021 Face anti-spoofing is the process of distinguishing genuine faces and face presentation attacks: attackers presenting spoofing faces (e.g. photograph, digital screen, and mask) to the face recognition system and attempting to be authenticated as the ...
Liu, Yaojie
core +1 more source
Visible/Infrared face spoofing detection using texture descriptors [PDF]
MATEC Web of Conferences, 2019 With extensive applications of face recognition technologies, face anti-spoofing played an important role and has drawn a great attention in the security systems. This study represents a multi-spectral face anti-spoofing method working with both visible (
Mohamed Shaimaa +2 more
doaj +1 more source