Results 31 to 40 of about 2,785,599 (172)

Deepfake technológia irányai és felismerése

, 2022
A deepfake videók évekkel ezelőtt kezdtek el terjedni a világhálón, ma már a felismerhetetlenségig fejlődött a technológia. A szórakoztatásra szánt deepfake képek és videók olykor veszélyesek is lehetnek.
Éles, Effi
core  

AI Anomaly-Based Deepfake Detection Using Customized Mahalanobis Distance and Head Pose with Facial Landmarks

Applied Sciences
The development of artificial intelligence has inevitably led to the growth of deepfake images, videos, human voices, etc. Deepfake detection is mandatory, especially when used for unethical and illegal purposes.
Cosmina-Mihaela Rosca, Adrian Stancu
doaj   +1 more source

Generative AI adoption and barriers in the insurance industry

Risk Management and Insurance Review, EarlyView.
Abstract This study examines the adoption of Generative Artificial Intelligence (Gen AI) in the insurance industry through an institutional lens, drawing on semi‐structured interviews with 21 senior insurance professionals. While Gen AI offers significant potential for a data and text‐intensive industry, adoption remains cautious and uneven.
Aisling Owen, Barry Sheehan, Martin Mullins   +2 more
wiley   +1 more source

Learning Self-distilled Features for Facial Deepfake Detection Using Visual Foundation Models: General Results and Demographic Analysis

Journal on Interactive Systems
Modern deepfake techniques produce highly realistic false media content with the potential for spreading harmful information, including fake news and incitements to violence.
Yan Martins Braz Gurevitz Cunha, Bruno Rocha Gomes, José Matheus C. Boaro, Daniel de Sousa Moraes, Antonio José Grandson Busson, Julio Cesar Duarte, Sérgio Colcher   +6 more
doaj   +1 more source

Robustness evaluation of commercial liveness detection platform

网络与信息安全学报, 2022
Liveness detection technology has become an important application in daily life, and it is used in scenarios including mobile phone face unlock, face payment, and remote authentication.
WANG Pengcheng, ZHENG Haibin, ZOU Jianfei, PANG Ling, LI Hu, CHEN Jinyin   +2 more
doaj   +1 more source

Designing healthy and resilient information environments: A multi‐agent sandbox for exploring risks and countermeasures

AI Magazine, Volume 47, Issue 4, Winter 2026.
Abstract Artificial intelligence is transforming online information environments, amplifying both societal benefits and risks. This article argues that online platforms can be understood as multi‐agent systems (MAS) composed of humans, simulated users, adversarial agents, and defensive agents operating under platform‐level rules.
Jurriaan van Diggelen, Maaike Homan
wiley   +1 more source

Which Evaluation Strategies Help Students Spot Visual Misinformation on Social Media?

Journal of Computer Assisted Learning, Volume 42, Issue 6, December 2026.
ABSTRACT Background The rapid spread of visual misinformation online, intensified by advances in generative artificial intelligence, presents new challenges for adolescents' digital information literacy. Although students' difficulties in evaluating online information are well documented, little is known about how they assess different forms of visual ...
Shai Goldfarb Cohen, Sarit Barzilai, Linor L. Hadar, Thuraia Copti‐Mshael, Liron Primor   +4 more
wiley   +1 more source

A Deepfake technológia irányai és felismerése

, 2022
A dolgozatban tárgyalt témák: A deepfake technológiák általános felhasználása, azok előnyeinek és hátrányainak bemutatása. A neurális hálók alapjainak ismertetése. A videókat létrehozó programok alapjai, az autoencoderek részletes bemutatása.
Pálffy, Viktor
core  

Targeted Augmented Data for Audio Deepfake Detection [PDF]

peer reviewedThe availability of highly convincing audio deepfake generators highlights the need for designing robust audio deepfake detectors. Existing works often rely solely on real and fake data available in the training set, which may lead to ...
ASTRID, Marcella, GHORBEL, Enjie, AOUADA, Djamila   +2 more
core   +1 more source

A Comprehensive Overview of Deep Learning for Deepfakes: Generation, Detection, Dataset: A Survey [PDF]

IJCI International Journal of Computers and Information
The rapid evolution of deep learning techniques, particularly through generative adversarial networks (GANs), has enabled the creation of hyper-realistic synthetic media, heightening concerns in domains such as politics, entertainment, and security ...
Eman AbdElfattah, Nader Mahmoud, Hamdy M.Mousa, Ashraf Elsisi   +3 more
doaj   +1 more source