摘要
当前自动驾驶技术、智能助理、人脸识别、智能工厂、智慧城市等人工智能技术已广泛落地,但相关领域安全事件的快速增长,使得消费者和业界对人工智能网络安全问题和威胁的关注度也在不断提高。人工智能应用的安全与智能化应用所带来的红利,犹如一个硬币的两面,永远同时存在且重要性凸显。通过对近年来人工智能安全的政策、技术发展特点及人工智能应用落地所面临的安全威胁进行探讨,提出了一套可参考的安全框架和落地实施方法。
With the rapid popularization of automatic driving technology,intelligent assistant,face recognition,intelligent factory,smart city and other AI Artificial intelligence technologies and the rapid growth of related security incidents,consumers and the industry are paying more and more attention to AI network security issues and threats.The security of artificial intelligence applications and the dividends brought by intelligent applications,like two sides of a coin,always exist at the same time and the importance is highlighted.This paper discusses the development process of AI security in recent years and the security threats faced by AI application landing,and puts forward a set of reference security framework and landing implementation methods.
作者
宁庭勇
熊婕
胡永波
NING Tingyong;XIONG Jie;HU Yongbo(Inesa Intelligent Tech Inc.,Shanghai 200233,China)
出处
《信息通信技术与政策》
2021年第8期64-68,共5页
Information and Communications Technology and Policy
关键词
人工智能
模型安全
数据安全
人工智能安全
可信人工智能
artificial intelligence
model security
data security
artificial intelligence security
trusted artificial intelligence
