Modeling and Security Analysis of Attacks on Machine Learning Systems

被引:0
作者
Singhal, Anoop [1 ]
机构
[1] NIST, Comp Secur Div, Gaithersburg, MD 20899 USA
来源
PROCEEDINGS OF THE 10TH ACM INTERNATIONAL WORKSHOP ON SECURITY AND PRIVACY ANALYTICS, IWSPA 2024 | 2024年
关键词
Attacks on ML Systems; Vulnerability Analysis; Data Poisoning and Evasion Attacks;
D O I
10.1145/3643651.3659899
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
引用
收藏
页码:1 / 2
页数:2
相关论文
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  • [2] [Anonymous], 2023, NIST AIRC-Playbook
  • [3] Oprea A., 2022, IEEE Computer Magazine
  • [4] Ou Xinming., 2005, USENIX SECURITY
  • [5] Zou Q., 2022, P ICCISS C DEC