Project Octopus - Quantum fingerprinting for securing generative models

人工智能模型已迅速成为组织核心运营的基础和知识产权的储存库。在企业的情况下，模型可以是他们的业务模型。此外，由于训练具有生成性的人工智能系统的成本可能高达数百万或1000万美元，人们对开发防止训练模型被提取或窃取的方法越来越感兴趣。即使模型托管在模型创建者控制的设备上，通过模型创建者安全系统的漏洞，它也可能容易受到黑客的攻击，并且没有针对员工意外泄漏或恶意行为的技术保护。公司必须诉诸法律保护，以保护他们的模型免受这些泄漏。我们提出了一种量子指纹识别解决方案，以确保训练有素的生成模型免受黑客或意外或恶意泄漏的影响。该项目将由ORCA计算公司领导，ORCA计算公司成立于2019年10月，是牛津大学伊恩·沃尔姆斯利教授的超快量子光学小组的一个分支，目前总部设在伦敦西部，拥有40多名员工。

AI models have rapidly become the basis of an organization's core operation and repository of its intellectual property. In the case of an enterprise, models can be their very business model. In addition, with the costs of training generative AI systems potentially running into the millions or 10's of millions of dollars, there has been increasing interest in developing methods to prevent the extraction or theft of a trained model. Even when a model is hosted on a device controlled by the model's creator, it may be vulnerable to hackers through gaps in the model creator's security systems, and there is no technical protection against accidental leaks or malicious acts by employees. Companies must resort to legal protections only to protect their models from these leaks.We propose a quantum fingerprinting solution for securing trained generative models from hackers or from accidental or malicious leaks.This project will be led by ORCA Computing, who were formed in October 2019 as a spin-off from Professor Ian Walmsley's ultra-fast quantum optics group at the University of Oxford and is now based in West London with over 40 employees.