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Building Intelligence Identification System via Large Language Model Watermarking: A Survey and Beyond

Wang, Xuhong, Jiang, Haoyu, Yu, Yi, Yu, Jingru, Lin, Yilun, Yi, Ping, Wang, Yingchun, Yu, Qiao, Li, Li, Wang, Fei-Yue

arXiv.org Artificial Intelligence

Large Language Models (LLMs) are increasingly integrated into diverse industries, posing substantial security risks due to unauthorized replication and misuse. To mitigate these concerns, robust identification mechanisms are widely acknowledged as an effective strategy. Identification systems for LLMs now rely heavily on watermarking technology to manage and protect intellectual property and ensure data security. However, previous studies have primarily concentrated on the basic principles of algorithms and lacked a comprehensive analysis of watermarking theory and practice from the perspective of intelligent identification. To bridge this gap, firstly, we explore how a robust identity recognition system can be effectively implemented and managed within LLMs by various participants using watermarking technology. Secondly, we propose a mathematical framework based on mutual information theory, which systematizes the identification process to achieve more precise and customized watermarking. Additionally, we present a comprehensive evaluation of performance metrics for LLM watermarking, reflecting participant preferences and advancing discussions on its identification applications. Lastly, we outline the existing challenges in current watermarking technologies and theoretical frameworks, and provide directional guidance to address these challenges. Our systematic classification and detailed exposition aim to enhance the comparison and evaluation of various methods, fostering further research and development toward a transparent, secure, and equitable LLM ecosystem.


Latest Technologies and Trends For Enterprises in 2023

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In this evolving digital era, technology service providers must benefit from the latest techniques and tools to stay ahead of the competition. An executive and leaders of the goods must rely on amalgam for the short and long term. However, businesses are enhancing their dependency on tech, using the latest or emerging technologies in advanced ways. External forces like sociological, macroeconomic, and environmental aspects also affect how enterprises plan for the future. Hence, let's see the list of the top tech trends in 2023 that technology service providers must know.


Differentiating service quality in a crowded technology services market - Express Computer

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The technology services market is constantly changing. As the COVID-19 pandemic showed us, the technology services players who were ready to adapt their business models, were ultimately better prepared. Remote working became the norm and overnight technology service providers became ready to change their processes and created new ways of collaborative working. As the pandemic and many countless disasters or challenges in the past have shown us, change is the only constant, and it is vital to differentiate in what is clearly a crowded technology services market. Observability With soaring IT complexity, it is increasingly becoming important for technology service providers to have a deep understanding of their highly distributed application topologies and dependencies.


Microsoft says Russian group behind SolarWinds attack now targeting IT supply chain

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Microsoft on Monday warned that the same Russian group behind the SolarWinds cyber attack in 2020 has been attempting to "replicate" that approach, now targeting organizations "integral" to the global IT supply chain--specifically, resellers and technology service providers. Microsoft Corporate Vice President of Customer Security & Trust Tom Burt shared the "latest activity" the company has observed from Russian nation-state actor Nobelium. Burt, in a blog post, said Nobelium was identified by the U.S. government and others as being part of Russia's foreign intelligence service, known as the SVR.


AI Has Reached a Critical Tipping Point Says Synechron's Ben Musgrave

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Based in the Big Apple itself (New York), Synechron is one of the fastest-growing digital, business consulting & technology services providers. Since they opened their doors in 2001, Synechron has been expanding at a rapid rate. They now operate in 18 countries around the the world, and has a marked presence in the US, Australia, Canada, UK, Japan, The Netherlands, Hong Kong, Singapore, UAE, Ireland, Germany, Switzerland, Luxembourg, Italy, France, and India. With the AI Summit London drawing ever closer (it's only one week away!), we spoke to Ben Musgrave, who is Synechron's Business Development Manager, in order to understand how one of the event's key sponsors is deploying AI today and how they plan to in the future. We started off our conversation with Musgrave – who'll be delivering a keynote speech at the AI Summit London – how they are currently involved in the AI-space.