论文标题
CTI4AI：威胁情报生成和分享红色团队模型
CTI4AI: Threat Intelligence Generation and Sharing after Red Teaming AI Models
论文作者
论文摘要
随着基于人工智能（AI）和机器学习（ML）技术的实用性的增长，对抗性攻击的威胁越来越大。有必要将这个生态系统的团队红色团结起来，以确定系统漏洞，潜在威胁，表征将增强系统鲁棒性并鼓励创造有效防御的属性。次要的需求是在不同的利益相关者，模型开发人员，用户和AI/ML安全专业人员等不同的利益相关者之间分享此AI安全威胁情报。在本文中，我们创建和描述了原型系统CTI4AI，以克服有条不紊地识别和共享AI/ML特定漏洞和威胁智能的需求。
As the practicality of Artificial Intelligence (AI) and Machine Learning (ML) based techniques grow, there is an ever increasing threat of adversarial attacks. There is a need to red team this ecosystem to identify system vulnerabilities, potential threats, characterize properties that will enhance system robustness, and encourage the creation of effective defenses. A secondary need is to share this AI security threat intelligence between different stakeholders like, model developers, users, and AI/ML security professionals. In this paper, we create and describe a prototype system CTI4AI, to overcome the need to methodically identify and share AI/ML specific vulnerabilities and threat intelligence.
