Detecting and attributing ai-generated images with machine learning
The exponential growth of artificial intelligence (AI) usage for image creation emphasizes the urgent necessity for reliable mechanisms to differentiate real photographs from AI-generated counterparts. This thesis will explore the training of various machine-learning systems capable of identifying s...
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| Format: | master thesis |
| Publication Date: | 2024 |
| Country: | España |
| Institution: | Universitat Politècnica de Catalunya (UPC) |
| Repository: | UPCommons. Portal del coneixement obert de la UPC |
| Language: | English |
| OAI Identifier: | oai:upcommons.upc.edu:2117/411626 |
| Online Access: | https://hdl.handle.net/2117/411626 |
| Access Level: | Open access |
| Keyword: | Artificial intelligence Machine learning detecció d'imatges sintètiques reconeiximent d'imatges sintètiques models de difusió ia generativa synthetic image detection synthetic image recognition diffusion models generative ai Intel·ligència artificial Aprenentatge automàtic Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic |
| Summary: | The exponential growth of artificial intelligence (AI) usage for image creation emphasizes the urgent necessity for reliable mechanisms to differentiate real photographs from AI-generated counterparts. This thesis will explore the training of various machine-learning systems capable of identifying synthetic images and determining the generative model responsible for their creation, helping to verify the authenticity and trustworthiness of digital media. |
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