Recent developments in deep learning have led to great success in various natural
language processing (NLP) tasks. However, these applications may involve data that …

Prompt tuning provides an efficient way for users to customize Large Language Models
(LLMs) with their private data in the emerging LLM service scenario. However, the sensitive …

Large language models pretrained on a huge amount of data capture rich knowledge and
information in the training data. The ability of data memorization and regurgitation in …

Foundation Models (FMs) such as GPT-4 encoded with vast knowledge and powerful
emergent abilities have achieved remarkable success in various natural language …

The emergence of smartphones and internet accessibility around the globe have enabled
billions of people to be connected to the digital world. Due to the popularity of instant …

Large scale adoption of large language models has introduced a new era of convenient
knowledge transfer for a slew of natural language processing tasks. However, these models …

Pre-trained language models (PLMs) have demonstrated significant proficiency in solving a
wide range of general natural language processing (NLP) tasks. Researchers have …

Recently, more and more pre-trained language models are released as a cloud service. It
allows users who lack computing resources to perform inference with a powerful model by …

Large Language Models (LLMs) are gaining increasing attention due to their exceptional
performance across numerous tasks. As a result, the general public utilize them as an …

Encoded text representations often capture sensitive attributes about individuals (eg, race or
gender), which raise privacy concerns and can make downstream models unfair to certain …