AIJack: Let's Hijack AI! Security and Privacy Risk Simulator for Machine Learning

arXiv:2312.17667v2 Announce Type: replace
Abstract: This paper introduces AIJack, an open-source library designed to assess security and privacy risks associated with the training and deployment of machine learning models. Amid the growing interest in big data and AI, advancements in machine learning research and business are accelerating. However, recent studies reveal potential threats, such as the theft of training data and the manipulation of models by malicious attackers. Therefore, a comprehensive understanding of machine learning's security and privacy vulnerabilities is …

arxiv cs.cr cs.lg machine machine learning privacy risk security security and privacy simulator type