A Review of Deep Learning-based Approaches for Deepfake Content Detection

Understand

Recent advancements in deep learning generative models have raised concerns as they can create highly convincing counterfeit images and videos.

• This poses a threat to people's integrity and can lead to social instability.
• To address this issue, there is a pressing need to develop new computational models that can efficiently detect forged content and alert users to potential image and video manipulations.
• This paper presents a comprehensive review of recent studies for deepfake content detection using deep learning-based approaches.