Deepfake Detection: Deep Learning Based System for Identifying Synthetic Media

Key Points

• To assess the effectiveness of deep learning systems in detecting deepfakes and synthetic media.
• Developed a deep learning model for deepfake detection.
• Utilized various datasets containing synthetic and real media.
• Evaluated the model's performance through accuracy and precision metrics.
• Achieved a high detection accuracy rate for deepfake videos.
• Identified key features that distinguish synthetic media from real media.
• Demonstrated improved detection times compared to traditional methods.