ProFLingo: A Fingerprinting-based Copyright Protection Scheme for Large Language Models

arXiv:2405.02466v1 Announce Type: new
Abstract: Large language models (LLMs) have attracted significant attention in recent years. Due to their "Large" nature, training LLMs from scratch consumes immense computational resources. Since several major players in the artificial intelligence (AI) field have open-sourced their original LLMs, an increasing number of individual researchers and smaller companies are able to build derivative LLMs based on these open-sourced models at much lower costs. However, this practice opens up possibilities for unauthorized use or reproduction that …

artificial artificial intelligence arxiv attention computational copyright copyright protection cs.cr cs.lg fingerprinting intelligence language language models large llms major nature players protection researchers resources training