Deepfake generation and detection: Case study and challenges
In smart communities, social media allowed users easy access to multimedia content. With
recent advancements in computer vision and natural language processing, machine …
recent advancements in computer vision and natural language processing, machine …
DeepFake on Face and Expression Swap: A Review
Remarkable advances have been made in deep learning, leading to the emergence of
highly realistic AI-generated videos known as deepfakes. Deepfakes use generative models …
highly realistic AI-generated videos known as deepfakes. Deepfakes use generative models …
On the vulnerability of deepfake detectors to attacks generated by denoising diffusion models
M Ivanovska, V Struc - Proceedings of the IEEE/CVF winter …, 2024 - openaccess.thecvf.com
The detection of malicious deepfakes is a constantly evolving problem that requires
continuous monitoring of detectors to ensure they can detect image manipulations …
continuous monitoring of detectors to ensure they can detect image manipulations …
AI/ML-based and oriented cyber attacks
G Karapilafis - 2024 - repository.ihu.edu.gr
Artificial Intelligence has equipped us with the power to automate functions, glean insights
from massive data piles, and create media content that closely mimics reality. Nonetheless …
from massive data piles, and create media content that closely mimics reality. Nonetheless …
[PDF][PDF] DeepFake on Face and Expression Swap: A Review
TAE EISA - 2023 - eprints.utm.my
Remarkable advances have been made in deep learning, leading to the emergence of
highly realistic AI-generated videos known as deepfakes. Deepfakes use generative models …
highly realistic AI-generated videos known as deepfakes. Deepfakes use generative models …