Machine Learning Integrity and Privacy in Adversarial Environments

被引：0
|
作者：
Oprea, Alina [1 ]
机构：
[1] Northeastern Univ, Boston, MA 02115 USA
来源：
PROCEEDINGS OF THE 26TH ACM SYMPOSIUM ON ACCESS CONTROL MODELS AND TECHNOLOGIES, SACMAT 2021 | 2021年
关键词：
Security and privacy of machine learning systems; adversarial machine learning; poisoning attacks in machine learning; machine learning privacy;
D O I：
10.1145/3450569.3462164
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
引用
收藏
页码：1 / 2
页数：2
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