IEEE/ICACT20250214 Slide.18        [Big Slide]       Oral Presentation
Future Work Future Work: Enhancing Model Generalization: Train on diverse datasets with different types of image manipulations. Explore domain adaptation techniques for better performance on unseen data. Extending to Other Manipulations: Detecting other types of forgeries such as splicing, copy-move, and inpainting. Apply SobelMNet to video forensics for detecting frame manipulations. Improving Robustness: Investigate the model's behavior under extreme compression and low-quality images. Implement adversarial training to make the model resistant to sophisticated tampering techniques. Real-World Deployment: Optimize for mobile and embedded devices for on-the-go forensic analysis. Develop a real-time image forensics tool integrating SobelMNet for law enforcement and cybersecurity.

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