Deepfake Detection in the Era of Generative AI
With the rapid progress of recent years, techniques that generate and manipulate multimedia content can now provide a very advanced level of realism. Powered by large language models, text-driven synthesis tools allow the user to modify or create from scratch images and videos by means of simple text instructions. On the one hand, this opens the door to a series of exciting applications in different fields such as creative arts, advertising, film production, video games. On the other hand, it poses enormous security threats. Therefore, there is an urgent need for automated tools capable of detecting false multimedia content and avoiding the spread of dangerous false information. This talk aims to present an analysis of the methods for synthetic media verification. Special emphasis will be placed on the phenomenon of AI-generated content and on modern data-driven forensic methods to fight them. The analysis will help highlight the limits of current forensic tools, the most relevant issues, the upcoming challenges, and suggest future directions for research.