摘要: Machine learning systems have had enormous success in a wide range of fields from computer vision, natural language processing, and anomaly detection. However, such systems are vulnerable to attackers who can cause deliberate misc... 展开
作者 | Giulio Zizzo Chris Hankin Sergio Maffeis Kevin Jones | ||
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作者单位 | |||
文集名称 | 2019 56th ACM/IEEE Design Automation Conference | ||
出版年 | 2019 | ||
会议名称 | ACM/IEEE Design Automation Conference | ||
页码 | 1-4 | 开始页/总页数 | 1 / 4 |
会议地点 | Las Vegas(US) | 会议年/会议届次 | 2019 / 56th |
关键词 | Neural networks Industrial control Intrusion detection Perturbation methods | ||
馆藏号 | IEL27261 (8806766) |