Large Language Models (LLMs) are swiftly advancing in architecture and capability, and as
they integrate more deeply into complex systems, the urgency to scrutinize their security …

Large Language Model (LLM) systems are inherently compositional, with individual LLM
serving as the core foundation with additional layers of objects such as plugins, sandbox …

Ensuring the security of large language models (LLMs) is an ongoing challenge despite
their widespread popularity. Developers work to enhance LLMs security, but vulnerabilities …

ChatGPT is currently the most popular large language model (LLM), with over 100 million
users, making a significant impact on people's lives. However, due to the presence of …

Large Language Models (LLMs) excel in processing and generating human language,
powered by their ability to interpret and follow instructions. However, their capabilities can …

Prompt injection has emerged as a serious security threat to large language models (LLMs).
At present, the current best-practice for defending against newly-discovered prompt injection …

Visual Text Question Answering (VTQA) is a challenging task that requires answering
questions pertaining to visual content by combining image understanding and language …

The behavioral sciences have had great success in their study of the mechanisms that drive
behavior. However, they have had less impact on applied settings or policy. This gap results …

Large Language Model-based systems (LLM systems) are information and query
processing systems that use LLMs to plan operations from natural-language prompts and …

Instruction-tuned Code Large Language Models (Code LLMs) are increasingly utilized as AI
coding assistants and integrated into various applications. However, the cybersecurity …