Rudrasish Dutta

The Rise of Deepfakes & Image Manipulation With advancements in AI and deep learning, it has become increasingly easy to create highly realistic fake images (deepfakes). These manipulated images can be used for misinformation, fraud, identity theft, and social engineering attacks. Deepfakes and altered images have serious implications, including: Misinformation & Fake News – Misleading images spread false narratives, influencing public opinion and decision-making. Cybercrime & Fraud – Scammers use fake identity images to deceive people, commit financial fraud, or bypass security measures. Political & Social Manipulation – Fake images can be weaponized to distort events, defame individuals, or disrupt elections. Legal & Forensic Challenges – In courts and law enforcement, manipulated images can compromise evidence and hinder justice. Current Challenges Without a Detection System 🚨 No easy way to verify image authenticity – Ordinary users, journalists, and even companies lack tools to detect whether an image is fake or real. 🚨 Fake content spreads rapidly – Social media amplifies false information, making it hard to track and verify sources. 🚨 Traditional methods are ineffective – Manual verification and watermarking are insufficient against AI-generated deepfakes.