SHAQ (shadow query generation), a semantic-decomposition and embedding-decoupling defense against EIAs, is proposed, which uses a generative language model to create diverse shadow queries that capture different semantic aspects of each document.
Xinguo Feng, Zhongkui Ma, Zi-Han Wang et al.· 0 citations
This work focuses on the early ChatGPT plugin ecosystem, which is in the original plugin store before the transition to the GPT Store, and probes domain reachability, residual configuration files, and API endpoint responses to identify backend services that standard probes miss.
The first large-scale, cross-platform study of plugins from five major web application marketplaces, covering domains from office productivity to software development, indicates that AI-assisted plugins face a range of emerging issues that negatively impact user experience and fail to comply with established AI ethics...
Liuhuo Wan, Zicong Liu, Chuan Yan et al.· Proceedings of the ACM on So...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.