Saturday 01 March 2025
A new approach to protecting intellectual property in the realm of large language models has emerged, and it’s a game-changer for those concerned about code theft and piracy. The method, known as RTLMarker, uses a hardware watermarking framework to embed unique identification information into the Register Transfer Level (RTL) code generated by these powerful AI-driven tools.
In recent years, Large Language Models (LLMs) have become increasingly popular among designers and engineers, allowing them to quickly generate complex RTL code for digital circuits. However, this rapid development pace has also made it easier for malicious actors to steal and reuse this code without permission. To combat this issue, researchers have turned their attention to watermarking – the process of embedding a unique identifier into a work that can be used to verify its authenticity.
RTLMarker tackles the challenge of watermarking LLM-generated RTL code by introducing a set of rule-based Verilog code transformations that ensure the watermarked code remains functionally correct. This approach is significant because it addresses one of the primary concerns with traditional watermarking methods: the risk of compromising the code’s functionality in the process.
The framework also employs a detection network to identify the presence and characteristics of the embedded watermark, allowing designers to quickly determine whether their code has been tampered with or stolen. Moreover, RTLMarker’s ability to detect watermarks at both the RTL level and the netlist level provides an added layer of security against attempts to remove or alter the watermark.
One of the key advantages of RTLMarker is its transparency – the framework aims to minimize the number of code transformations required to embed the watermark, ensuring that the modified code remains as close to the original as possible. This approach not only preserves the code’s functionality but also makes it easier for designers to identify and fix any issues that may arise during the development process.
RTLMarker has been tested on several benchmarks, including RTLLM and VerilogEval, with impressive results. The framework demonstrated superior performance in detecting watermarks compared to existing methods, while also maintaining a high level of transparency.
The implications of RTLMarker are far-reaching, as it offers a powerful tool for protecting intellectual property in the rapidly evolving field of large language models. As LLMs continue to play an increasingly important role in digital design and development, the need for effective watermarking solutions will only grow more pressing.
Cite this article: “Protecting Intellectual Property with RTLMarker: A Game-Changing Approach to Large Language Model Watermarking”, The Science Archive, 2025.
Large Language Models, Rtlmarker, Watermarking, Intellectual Property, Code Theft, Piracy, Register Transfer Level, Verilog, Digital Circuits, Hardware Framework
