Large language models (LLMs), exemplified by ChatGPT, have gained considerable
attention for their excellent natural language processing capabilities. Nonetheless, these …

Large language models (LLMs) have gained considerable attention for their excellent
natural language processing capabilities. Nonetheless, these LLMs present many …

Large language models (LLMs) are complex artificial intelligence systems capable of
understanding, generating and translating human language. They learn language patterns …

The advent of transformers has brought about significant advancements in traditional
machine learning tasks. However, their pervasive deployment has raised concerns about …

The advancement of large language models (LLMs) has significantly enhanced the ability to
effectively tackle various downstream NLP tasks and unify these tasks into generative …

Large transformer-based models have realized state-of-the-art performance on lots of real-
world tasks such as natural language processing and computer vision. However, with the …

Secure transformer inference has emerged as a prominent research topic following the
proliferation of ChatGPT. Existing solutions are typically interactive, involving substantial …

With the growing use of large language models hosted on cloud platforms to offer inference
services, privacy concerns are escalating, especially concerning sensitive data like …

Secure two-party neural network (2P-NN) inference allows the server with a neural network
model and the client with inputs to perform neural network inference without revealing their …

With the growing use of Transformer models hosted on cloud platforms to offer inference
services, privacy concerns are escalating, especially concerning sensitive data like …