Digital Asset

Digital assets encompass a broad range of intangible items, from cryptocurrencies and NFTs to virtual 3D models and intellectual property embedded in machine learning models. Current research focuses on improving the security, management, and valuation of these assets, employing techniques like graph neural networks for fraud detection and privacy preservation, and generative models (e.g., diffusion models, Gaussian splatting) for creating high-quality 3D assets. This field is significant due to the increasing economic importance of digital assets and the need for robust legal frameworks and efficient computational methods to support their creation, management, and trading.