A First Look at GPT Apps: Landscape and Vulnerability

arXiv:2402.15105v1 Announce Type: cross
Abstract: With the advancement of Large Language Models (LLMs), increasingly sophisticated and powerful GPTs are entering the market. Despite their popularity, the LLM ecosystem still remains unexplored. Additionally, LLMs' susceptibility to attacks raises concerns over safety and plagiarism. Thus, in this work, we conduct a pioneering exploration of GPT stores, aiming to study vulnerabilities and plagiarism within GPT applications. To begin with, we conduct, to our knowledge, the first large-scale monitoring and analysis of two stores, …

abstract advancement apps arxiv attacks concerns cs.cl cs.cr ecosystem exploration gpt gpts landscape language language models large language large language models llm llms look market plagiarism raises safety type vulnerability work