Machine Learning Security: Threat Model, Attacks, and Challenges

被引：2

作者：

Koball, Carson ^{[1
]}

Wang, Yong ^{[2
]}

Rimal, Bhaskar P. ^{[3
]}

Vaidyan, Varghese ^{[4
]}

机构：

[1] Dakota State Univ DSU, Comp Sci Program, Madison, WI 57042 USA

[2] Dakota State Univ, Madison, WI 57042 USA

[3] Univ Idaho, Dept Comp Sci, Moscow, ID 83844 USA

[4] Dakota State Univ, Beacom Coll Comp & Cyber Sci, Madison, SD 57042 USA

来源：

COMPUTER | 2024年 / 57卷 / 10期

关键词：

Threat modeling; Focusing; Machine learning; Computer security;

D O I：

10.1109/MC.2024.3396357

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article investigates machine learning (ML) security, focusing on threats and attacks against ML. We have created a threat model for ML to illustrate the threat actors involved. We present a new approach to classify threats and attacks targeting ML.

引用

页码：26 / 35

页数：10

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