Machine Learning Security: Threat Model, Attacks, and Challenges

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.

Authors

Carson Koball (ORCID: https://orcid.org/0009-0001-2232-8205)
Bhaskar Prasad Rimal (ORCID: https://orcid.org/0000-0001-7680-9293)
Yong Wang (ORCID: https://orcid.org/0000-0002-1962-4847)
Varghese Vaidyan (ORCID: https://orcid.org/0000-0002-9737-242X)

Institutions

Dakota State University (US)
University of Idaho (US)

Publication Details

Journal: Computer
Published: 2024-09-23
DOI: https://doi.org/10.1109/mc.2024.3396357
Citations: 6
Primary Topic: Network Security and Intrusion Detection
Type: article
Field-Weighted Citation Impact: 2.09

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Machine Learning Security: Threat Model, Attacks, and Challenges

Carson Koball, Bhaskar Prasad Rimal, Yong Wang, Varghese Vaidyan

Sep 23, 2024

6 citations

Computer

Network Security and Intrusion Detection

2.09

article

Machine Learning Security: Threat Model, Attacks, and Challenges

Carson Koball, Bhaskar Prasad Rimal, Yong Wang, Varghese Vaidyan

September 23, 2024article en

6 citations

Abstract

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.

ComputerVol. 57(10)

Dakota State University (US), University of Idaho (US)

Climate action

Openalex Percentile: Top 12%

Network Security and Intrusion Detection

2.09

DOI Source OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.