Deepmind technologies limited (20240320529). MULTI-STAGE WATERMARKING OF A DIGITAL OBJECT GENERATED BY A MACHINE LEARNING MODEL simplified abstract
Contents
MULTI-STAGE WATERMARKING OF A DIGITAL OBJECT GENERATED BY A MACHINE LEARNING MODEL
Organization Name
Inventor(s)
Sumanth Dathathri of London (GB)
Abigail Elizabeth See of London (GB)
Borja De Balle Pigem of London (GB)
Sumedh Kedar Ghaisas of London (GB)
Johannes Maximilian Welbl of London (GB)
MULTI-STAGE WATERMARKING OF A DIGITAL OBJECT GENERATED BY A MACHINE LEARNING MODEL - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240320529 titled 'MULTI-STAGE WATERMARKING OF A DIGITAL OBJECT GENERATED BY A MACHINE LEARNING MODEL
The patent application describes methods, systems, and apparatus for watermarking a digital object generated by a machine learning model, where the digital object is defined by a sequence of tokens. The watermarking process involves modifying the probability distribution of the tokens through a series of watermarking stages.
- The innovation involves watermarking digital objects created by machine learning models.
- The digital objects are represented by sequences of tokens.
- Watermarking is achieved by altering the probability distribution of the tokens.
- The process includes multiple watermarking stages to embed the watermark effectively.
- Computer programs encoded on storage media are used to implement the watermarking techniques.
Potential Applications: - Protecting intellectual property in machine learning-generated content. - Ensuring the authenticity and integrity of digital objects. - Preventing unauthorized copying or distribution of machine learning outputs.
Problems Solved: - Addressing the vulnerability of machine learning-generated content to unauthorized use. - Providing a method to trace the origin of digital objects back to the machine learning model that generated them.
Benefits: - Enhances the security and trustworthiness of machine learning outputs. - Enables content creators to protect their work from misuse. - Supports the development of reliable and verifiable machine learning applications.
Commercial Applications: Title: Secure Watermarking Technology for Machine Learning Outputs This technology can be utilized in industries such as: - Digital content creation and distribution. - Intellectual property protection services. - Anti-piracy solutions for machine learning applications.
Questions about Watermarking Technology for Machine Learning Outputs: 1. How does watermarking enhance the security of machine learning-generated content? 2. What are the potential implications of unauthorized use of machine learning outputs?
Frequently Updated Research: Stay updated on advancements in watermarking techniques for machine learning-generated content to ensure the highest level of security and protection for digital objects.
Original Abstract Submitted
methods, systems, and apparatus, including computer programs encoded on computer storage media, for watermarking a digital object generated by a machine learning model. the digital object is defined by a sequence of tokens. the watermarking involves modifying a probability distribution of the tokens by applying a succession of watermarking stages.
