SLIP: Securing LLMs IP Using Weights Decomposition

A recent study highlights the importance of protecting the intellectual property of large language models (LLMs) as they gain traction in various sectors. With the rising costs of cloud deployment, there's a growing interest in running these models on edge devices. However, this shift raises concerns about the potential theft of model parameters. The research proposes innovative methods to secure LLMs, ensuring that the significant investments made by their creators are safeguarded. This is crucial not only for the companies involved but also for the future of AI development.