Large language model supply chain: A research agenda

S Wang, Y Zhao, X Hou, H Wang - ACM Transactions on Software …, 2024 - dl.acm.org
The rapid advancement of large language models (LLMs) has revolutionized artificial
intelligence, introducing unprecedented capabilities in natural language processing and …

On the (in) security of llm app stores

X Hou, Y Zhao, H Wang - arXiv preprint arXiv:2407.08422, 2024 - arxiv.org
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 …

What you say= what you want? Teaching humans to articulate requirements for LLMs

Q Ma, W Peng, H Shen, K Koedinger, T Wu - arXiv preprint arXiv …, 2024 - arxiv.org
Prompting ChatGPT to achieve complex goals (eg, creating a customer support chatbot)
often demands meticulous prompt engineering, including aspects like fluent writing and …

Gptzoo: A large-scale dataset of gpts for the research community

X Hou, Y Zhao, S Wang, H Wang - Proceedings of the 39th IEEE/ACM …, 2024 - dl.acm.org
The rapid advancements in Large Language Models (LLMs) have revolutionized natural
language processing, with GPTs, customized versions of ChatGPT available on the GPT …

Exploring chatgpt app ecosystem: Distribution, deployment and security

C Yan, R Ren, MH Meng, L Wan, TY Ooi… - Proceedings of the 39th …, 2024 - dl.acm.org
ChatGPT has enabled third-party developers to create plugins to expand ChatGPT's
capabilities. These plugins are distributed through OpenAI's plugin store, making them …

LLM App Squatting and Cloning

Y Xie, X Hou, Y Zhao, K Chen, H Wang - arXiv preprint arXiv:2411.07518, 2024 - arxiv.org
Impersonation tactics, such as app squatting and app cloning, have posed longstanding
challenges in mobile app stores, where malicious actors exploit the names and reputations …

Somesite I Used To Crawl: Awareness, Agency and Efficacy in Protecting Content Creators From AI Crawlers

E Liu, E Luo, S Shan, GM Voelker, BY Zhao… - arXiv preprint arXiv …, 2024 - arxiv.org
The success of generative AI relies heavily on training on data scraped through extensive
crawling of the Internet, a practice that has raised significant copyright, privacy, and ethical …