Results 31 to 40 of about 6,295 (185)
Frequency Domain Filtered Residual Network for Deepfake Detection
Mathematics, 2023 As deepfake becomes more sophisticated, the demand for fake facial image detection is increasing. Although great progress has been made in deepfake detection, the performance of most existing deepfake detection methods degrade significantly when these ...
Bo Wang +5 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 +2 more
doaj +1 more source
A Critical Review of the 2025 RSHE Guidance and Alternative Approach Framed in Safe Uncertainty
Children &Society, EarlyView.ABSTRACT This policy review critically examines the English government's 2025 statutory guidance on Relationships Education, Relationship and Sex Education and Health Education (RSHE), analysing its educational assumptions, strengths and limitations through the lens of safe uncertainty.
Emily Setty, Jonny Hunt
wiley +2 more sources
Dual-Channel Deepfake Audio Detection: Leveraging Direct and Reverberant Waveforms
IEEE AccessDeepfake content-including audio, video, images, and text-synthesized or modified using artificial intelligence is designed to convincingly mimic real content.
Gunwoo Lee +6 more
doaj +1 more source
Improving Fairness in Deepfake Detection
, 2023 Despite the development of effective deepfake detection models in recent years, several recent studies have demonstrated that biases in the training data utilized to develop deepfake detection models can lead to unfair performance for demographic groups ...
Chen, George H. +4 more
core
A Lightweight Reliably Quantified Deepfake Detection Approach [PDF]
, 2022 Deepfake has brought huge threats to society such that everyone can become a potential victim. Current Deepfake detection approaches have unsatisfactory performance in either accuracy or efficiency.
Chow, Kam Pui, Wang, Tianyi
core +1 more source
A Novel Deep Learning Approach for Deepfake Image Detection
Applied Sciences, 2022 Deepfake is utilized in synthetic media to generate fake visual and audio content based on a person’s existing media. The deepfake replaces a person’s face and voice with fake media to make it realistic-looking. Fake media content generation is unethical
Ali Raza +2 more
doaj +1 more source
International Journal of Eating Disorders, EarlyView.ABSTRACT Objectives Despite the rapid growth of generative artificial intelligence (AI), virtually no research exists examining the psychological impacts of viewing or interacting with AI‐generated images of people. Additionally, it remains relatively unknown whether informing viewers when images are AI‐generated is an effective way to lessen harm or ...
Brooke L. Bennett +5 more
wiley +1 more source
Analyzing Fairness in Deepfake Detection With Massively Annotated Databases [PDF]
In recent years, image and video manipulations with Deepfake have become a severe concern for security and society. Many detection models and datasets have been proposed to detect Deepfake data reliably.
Bylappa Raja, Kiran +2 more
core +1 more source
How Social Media Connects and Divides Us: Psychological Insights and Paths Forward
European Journal of Social Psychology, EarlyView.ABSTRACT Social media was once celebrated as a revolutionary space for constructive connection. While it can foster community, amplify marginalised voices and expose users to diverse perspectives, these platforms are also implicated in the rise of polarisation, intergroup conflict and extremist movements.
Emily Kubin, Shelley McKeown
wiley +1 more source