Recent advances in Large Language Models (LLMs) enable exciting LLM-integrated
applications, which perform text-based tasks by utilizing their advanced language …

The rapid advancements in large language models (LLMs) have opened new avenues
across various fields, including cybersecurity, which faces an ever-evolving threat landscape …

Recent work has embodied LLMs as agents, allowing them to access tools, perform actions,
and interact with external content (eg, emails or websites). However, external content …

Intelligent agents powered by large language models (LLMs) have demonstrated substantial
promise in autonomously conducting experiments and facilitating scientific discoveries …

Adversarial Training (AT), which adversarially perturb the input samples during training, has
been acknowledged as one of the most effective defenses against adversarial attacks, yet …

Abstract Large Language Models (LLMs) have increasingly become central to generating
content with potential societal impacts. Notably, these models have demonstrated …

The rapid evolution of artificial intelligence (AI) through developments in Large Language
Models (LLMs) and Vision-Language Models (VLMs) has brought significant advancements …

Large Language Models (LLMS) have increasingly become central to generating content
with potential societal impacts. Notably, these models have demonstrated capabilities for …

Large Language Models (LLMs) have achieved remarkable success across diverse tasks,
yet they remain vulnerable to adversarial attacks, notably the well-documented\textit …

Large Language Models (LLMs) are increasingly integrated with external tools. While these
integrations can significantly improve the functionality of LLMs, they also create a new attack …