Скачать или смотреть HandsOn: Visual Forgery Detection Using Machine and Deep Learning Techniques

The session "HandsOn: Visual Forgery Detection Using Machine and Deep Learning Techniques," led by Dr. Abhishek, Associate Professor at Chitkara University, Himachal Pradesh, explores advanced methodologies for detecting digital image manipulations. The session covers key machine learning and deep learning techniques used in forensic analysis, including convolutional neural networks (CNNs), autoencoders, and GAN-based forgery detection. Participants will gain insights into real-world applications such as identifying deepfake content, detecting image splicing, and uncovering hidden tampering artifacts. The hands-on lab session will provide practical exposure to implementing and testing AI models for forgery detection, making it a valuable learning experience for researchers and cybersecurity professionals.