Unique security and privacy threats of large language model: A comprehensive survey
With the rapid development of artificial intelligence, large language models (LLMs) have
made remarkable advancements in natural language processing. These models are trained …
made remarkable advancements in natural language processing. These models are trained …
On protecting the data privacy of large language models (llms): A survey
Large language models (LLMs) are complex artificial intelligence systems capable of
understanding, generating and translating human language. They learn language patterns …
understanding, generating and translating human language. They learn language patterns …
Bolt: Privacy-preserving, accurate and efficient inference for transformers
The advent of transformers has brought about significant advancements in traditional
machine learning tasks. However, their pervasive deployment has raised concerns about …
machine learning tasks. However, their pervasive deployment has raised concerns about …
Privacy in large language models: Attacks, defenses and future directions
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 …
effectively tackle various downstream NLP tasks and unify these tasks into generative …
Bumblebee: Secure two-party inference framework for large transformers
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 …
world tasks such as natural language processing and computer vision. However, with the …
Secure transformer inference made non-interactive
Secure transformer inference has emerged as a prominent research topic following the
proliferation of ChatGPT. Existing solutions are typically interactive, involving substantial …
proliferation of ChatGPT. Existing solutions are typically interactive, involving substantial …
Grounding foundation models through federated transfer learning: A general framework
Foundation Models (FMs) such as GPT-4 encoded with vast knowledge and powerful
emergent abilities have achieved remarkable success in various natural language …
emergent abilities have achieved remarkable success in various natural language …
Secformer: Towards fast and accurate privacy-preserving inference for large language models
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 …
services, privacy concerns are escalating, especially concerning sensitive data like …
From accuracy to approximation: A survey on approximate homomorphic encryption and its applications
W Liu, L You, Y Shao, X Shen, G Hu, J Shi… - Computer Science …, 2025 - Elsevier
Due to the increasing popularity of application scenarios such as cloud computing, and the
growing concern of users about the security and privacy of their data, information security …
growing concern of users about the security and privacy of their data, information security …
East: Efficient and accurate secure transformer framework for inference
Y Ding, H Guo, Y Guan, W Liu, J Huo, Z Guan… - arXiv preprint arXiv …, 2023 - arxiv.org
Transformer has been successfully used in practical applications, such as ChatGPT, due to
its powerful advantages. However, users' input is leaked to the model provider during the …
its powerful advantages. However, users' input is leaked to the model provider during the …