The rapid development of large language models (LLMs) has opened new avenues across
various fields, including cybersecurity, which faces an evolving threat landscape and …

Generalist web agents have demonstrated remarkable potential in autonomously
completing a wide range of tasks on real websites, significantly boosting human productivity …

To address the challenging problem of detecting phishing webpages, researchers have
developed numerous solutions, in particular those based on machine learning (ML) …

The rapid progress in the reasoning capability of the Multi-modal Large Language Models
(MLLMs) has triggered the development of autonomous agent systems on mobile devices …

Vision Language Models (VLMs) have revolutionized the creation of generalist web agents,
empowering them to autonomously complete diverse tasks on real-world websites, thereby …

As humans grant language model (LM) agents more access to their machines, we speculate
a new form of cyber attack, AdaptiveBackdoor, where an LM agent is backdoored to detect …

Large language models (LLMs) have been widely deployed as the backbone with additional
tools and text information for real-world applications. However, integrating external …

In the past few years, intelligent agents powered by large language models (LLMs) have
achieved remarkable progress in performing complex tasks. These LLM-based agents …

Multimodal foundation models (MFMs) represent a significant advancement in artificial
intelligence, combining diverse data modalities to enhance learning and understanding …

As researchers continuously optimize AI agents to perform tasks more effectively within
operating systems, they often neglect to address the critical need for enabling these agents …