The protection of user privacy in the digital age has become an important concern with the
increase in data-driven technologies. These technologies generate large amounts of user …

Due to the increasing popularity of application scenarios such as cloud computing, and the
growing concern of users about the security and privacy of their data, information security …

In the fast-paced world of modern technology, the development of Large Language Models
(LLMs) has increased drastically. However, this growth has also increased privacy concerns …

Federated Learning (FL) is a promising distributed learning approach that enables multiple
clients to collaboratively train a shared global model. However, recent studies show that FL …

GUIs have long been central to human-computer interaction, providing an intuitive and
visually-driven way to access and interact with digital systems. The advent of LLMs …

The evolution of artificial intelligence (AI) has profoundly impacted human society, driving
significant advancements in multiple sectors. Yet, the escalating demands on AI have …

With the continuous development of large language models (LLMs), transformer-based
models have made groundbreaking advances in numerous natural language processing …

Graphical User Interface (GUI) agents, powered by Large Foundation Models, have
emerged as a transformative approach to automating human-computer interaction. These …

Users can divulge sensitive information to proprietary LLM providers, raising significant
privacy concerns. While open-source models, hosted locally on the user's machine, alleviate …

AI agents are systems capable of perceiving their environment, autonomously planning and
executing tasks. Recent advancements in LLM have introduced a transformative paradigm …