Data Copyright and Privacy Protection for Large Models

This article discusses the data copyright and privacy protection risks faced by large models in data collection, training and application, then analyzes related challenges and solutions, with a particular focus on privacy leakage and copyright abuse in image generation and large language models. The article also proposes an innovative digital watermarking and instant protection framework to achieve a balance between data compliance and model performance.