356 citations · 420 across the 9 of their papers we have counts for
9 papers
Security of OpenClaw Agents: Fundamentals, Attacks, and Countermeasures
Yuntao Wang, Jianle Ba, Han Liu +5
The rapid evolution of large language model (LLM)-driven autonomous agents has given rise to OpenClaw, a new class of open-source agent frameworks that operate as continuously runn…
Agent Discovery in Internet of Agents: Challenges and Solutions
Shaolong Guo, Yuntao Wang, Zhou Su +3
Rapid advances in large language models and agentic AI are driving the emergence of the Internet of Agents (IoA), a paradigm where billions of autonomous software and embodied agen…
Trustworthy Semantic Communication for Vehicular Networks: Challenges and Solutions
Yanghe Pan, Yuntao Wang, Shaolong Guo +4
Semantic communication (SemCom) has the potential to significantly reduce communication delay in vehicle-to-everything (V2X) communications within vehicular networks (VNs). However…
Security of Internet of Agents: Attacks and Countermeasures
Yuntao Wang, Yanghe Pan, Shaolong Guo +1
With the rise of large language and vision-language models, AI agents have evolved into autonomous, interactive systems capable of perception, reasoning, and decision-making. As th…
Internet of Agents: Fundamentals, Applications, and Challenges
Yuntao Wang, Shaolong Guo, Yanghe Pan +6
With the rapid proliferation of large language models and vision-language models, AI agents have evolved from isolated, task-specific systems into autonomous, interactive entities…
Large Model Based Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends
Yuntao Wang, Yanghe Pan, Zhou Su +6
With the rapid advancement of large models (LMs), the development of general-purpose intelligent agents powered by LMs has become a reality. It is foreseeable that in the near futu…
A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutions
Yuntao Wang, Yanghe Pan, Miao Yan +2
With the widespread use of large artificial intelligence (AI) models such as ChatGPT, AI-generated content (AIGC) has garnered increasing attention and is leading a paradigm shift…
Trade Privacy for Utility: A Learning-Based Privacy Pricing Game in Federated Learning
Yuntao Wang, Zhou Su, Yanghe Pan +4
To prevent implicit privacy disclosure in sharing gradients among data owners (DOs) under federated learning (FL), differential privacy (DP) and its variants have become a common p…
Social-Aware Clustered Federated Learning with Customized Privacy Preservation
Yuntao Wang, Zhou Su, Yanghe Pan +3
A key feature of federated learning (FL) is to preserve the data privacy of end users. However, there still exist potential privacy leakage in exchanging gradients under FL. As a r…