Study and analysis of Convolutional Neural Network algorithms to create a classification model for DeepFakes

• Grant number: 23/13611-0
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: December 01, 2023
• End date: November 30, 2024
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: André Ricardo Backes
• Grantee: Giovanni Rossi
• Host Institution: Centro de Ciências Exatas e de Tecnologia (CCET). Universidade Federal de São Carlos (UFSCAR). São Carlos , SP, Brazil

Abstract

The advancement of technology has enabled the emergence of DeepFakes, which are realistic synthetic videos and photos created using Artificial Intelligence. This technology raises ethical and security concerns as it can be used to deceive and defame. The project proposes a DeepFakes detection model using convolutional neural networks and a diverse dataset. The objective is to achieve more effective results than current DeepFakes detection models, helping to combat the spread of misleading information.