Results 51 to 60 of about 126,175 (202)

Live Spoofing Detection for Automatic Human Activity Recognition Applications

Sensors, 2021
Human Activity Recognition (HAR) has become increasingly crucial in several applications, ranging from motion-driven virtual games to automated video surveillance systems.
Viktor Dénes Huszár, Vamsi Kiran Adhikarla   +1 more
doaj   +1 more source

Hybrid Classification for Face Spoof Detection

International Journal for Research in Applied Science and Engineering Technology, 2021
Abstract: ML (machine learning) is consisted of a method of recognizing face. This technique is useful for the attendance system. Two sets are generated for testing and training phases in order to segment the image, to extract the features and develop a dataset.
openaire   +1 more source

Playing in the Dark: Invisible Chess as a Laboratory for Strategic AI

AI &Innovation, EarlyView.
This paper shows that strategic AI evaluated on perfect‐information benchmarks can be brittle in real adversarial settings. By using invisible chess as a benchmark for hidden state and deception, it argues for stricter testing, human oversight, and more cautious governance of high‐stakes AI systems.
Paolo Ciancarini
wiley   +1 more source

ENHANCED BORDER AUTHENTICATION USING MULTIMODAL BIOMETRICS [PDF]

International Journal of Intelligent Computing and Information Sciences
The growing popularity of travel in the modern world coupled with inadequate authentication methods at border locations, has contributed to the rise of border security incidents.
Salma Abdelmonem, Nour Amr, Abdelrahman Khaled, Moamen Mahmoud, Abdelrahman Mohamed, Zeiad Mahmoud, Beshoy Victor, Hanan Hindy   +7 more
doaj   +1 more source

Segmentation Method for Face Modelling in Thermal Images

Knowledge Engineering and Data Science, 2020
Face detection is mostly applied in RGB images. The object detection usually applied the Deep Learning method for model creation. One method face spoofing is by using a thermal camera. The famous object detection methods are Yolo, Fast RCNN, Faster RCNN,
Albar Albar, Hendrick Hendrick, Rahmad Hidayat   +2 more
doaj   +1 more source

Generalized Spoof Detection and Incremental Algorithm Recognition for Voice Spoofing

Applied Sciences, 2023
Highly deceptive deepfake technologies have caused much controversy, e.g., artificial intelligence-based software can automatically generate nude photos and deepfake images of anyone. This brings considerable threats to both individuals and society.
Jinlin Guo, Yancheng Zhao, Haoran Wang
doaj   +1 more source

A Review of Overcurrent Protection in Smart Grids Under Cyber‐Physical Threats With a Cyber‐Physical Evaluation Framework

Energy Science &Engineering, EarlyView.
By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali, Anas AlMajali, Naser Naily, Hassen Loukil, Salah AbuGhalyon, William Holderbaum, Abdelaziz Salah Saidi   +6 more
wiley   +1 more source

Influence of Standalone and Ensemble Classifiers in Face Spoofing Detection using LBP and CNN Models

European Journal of Electrical Engineering and Computer Science
Background: Artificial intelligence has made significant contributions to facial recognition and biometric identification and is now being employed in a range of applications.
M. Prasad, Sandhya Jain, Praveen Bhanodia, A. Priya   +3 more
semanticscholar   +1 more source

A Stacking Ensemble for Anomaly Based Client-Specific Face Spoofing Detection

International Conference on Information Photonics, 2020
To counteract spoofing attacks, the majority of recent approaches to face spoofing attack detection formulate the problem as a binary classification task in which real data and attack-accesses are both used to train spoofing detectors.
Soroush Fatemifar, Muhammad Awais, A. Akbari, J. Kittler   +3 more
semanticscholar   +1 more source

Deep Texture Features for Robust Face Spoofing Detection [PDF]

IEEE Transactions on Circuits and Systems II: Express Briefs, 2017
Biometric systems are quite common in our everyday life. Despite the higher difficulty to circumvent them, nowadays criminals are developing techniques to accurately simulate physical, physiological, and behavioral traits of valid users, process known as spoofing attack.
Gustavo Botelho de Souza, Daniel Felipe da Silva Santos, Rafael Goncalves Pires, Aparecido Nilceu Marana, Joao Paulo Papa   +4 more
openaire   +3 more sources