Results 41 to 50 of about 885 (179)
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
A study on data augmentation in voice anti-spoofing
Speech Communication, 2022 In this paper, we perform an in-depth study of how data augmentation techniques improve synthetic or spoofed audio detection. Specifically, we propose methods to deal with channel variability, different audio compressions, different band-widths, and unseen spoofing attacks, which have all been shown to significantly degrade the performance of audio ...
Ariel Cohen 0004 +3 more
openaire +2 more sources
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
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
MLDAS: Machine Learning Dynamic Algorithm Selection for Software‐Defined Networking Security
Concurrency and Computation: Practice and Experience, Volume 38, Issue 5, March 2026.ABSTRACT Network security is a critical concern in the digital landscape of today, with users demanding secure browsing experiences and protection of their personal data. This study explores the dynamic integration of Machine Learning (ML) algorithms with Software‐Defined Networking (SDN) controllers to enhance network security through adaptive ...
Pablo Benlloch +3 more
wiley +1 more source
Online Adaptive Personalization for Face Anti-Spoofing
2022 IEEE International Conference on Image Processing (ICIP), 2022 Face authentication systems require a robust anti-spoofing module as they can be deceived by fabricating spoof images of authorized users. Most recent face anti-spoofing methods rely on optimized architectures and training objectives to alleviate the distribution shift between train and test users.
Davide Belli +3 more
openaire +2 more sources
Face anti-spoofing with joint spoofing medium detection and eye blinking analysis [PDF]
Компьютерная оптика, 2019 Modern biometric systems based on face recognition demonstrate high recognition quality, but they are vulnerable to face presentation attacks, such as photo or replay attack.
Mikhail Nikitin +2 more
doaj +1 more source
Data‐Based Detection of Antagonistic Agents in a Robot Swarm Solving a Dynamic Coverage Task
International Journal of Mechanical System Dynamics, Volume 6, Issue 1, Page 22-32, March 2026.ABSTRACT Robot swarms can be deployed as moving surveillance systems, for instance, as mobile anti‐poaching systems for monitoring wildlife and detecting poaching activities. Since poachers have an interest in evading detection, robots are at risk of being hijacked and manipulated to behave antagonistically, for example, to prevent the correct ...
Ingeborg Wenger +2 more
wiley +1 more source
Materials and System Design for Self‐Decision Bioelectronic Systems
Advanced Materials, Volume 38, Issue 9, 12 February 2026.This review highlights how self‐decision bioelectronic systems integrate sensing, computation, and therapy into autonomous, closed‐loop platforms that continuously monitor and treat diseases, marking a major step toward intelligent, self‐regulating healthcare technologies.
Qiankun Zeng +9 more
wiley +1 more source