LLM-as-a-Judge uses a large language model (LLM) to select the best response from a set
of candidates for a given question. LLM-as-a-Judge has many applications such as LLM …

Large Language Models (LLMs) have become integral to numerous domains, significantly
advancing applications in data management, mining, and analysis. Their profound …

LLM app stores have seen rapid growth, leading to the proliferation of numerous custom
LLM apps. However, this expansion raises security concerns. In this study, we propose a …

Large Language Models (LLMs) have gained widespread use in various applications due to
their powerful capability to generate human-like text. However, prompt injection attacks …

Differential privacy (DP) is the de facto privacy standard against privacy leakage attacks,
including many recently discovered ones against large language models (LLMs). However …

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

While large language models (LLMs) have achieved notable success in generative tasks,
they still face limitations, such as lacking up-to-date knowledge and producing …

A major concern with integrating large language model (LLM) services (eg, ChatGPT) into
workplaces is that employees may inadvertently leak sensitive information through their …

Large language models (LLMs) have gained immense attention and are being increasingly
applied in various domains. However, this technological leap forward poses serious security …

The wide deployment of Large Language Models (LLMs) has given rise to strong demands
for optimizing their inference performance. Today's techniques serving this purpose primarily …