Erratum: Adversarial Machine Learning in IoT Security: A Comprehensive Survey

This is an erratum for the article "Adversarial Machine Learning in IoT Security: A Comprehensive Survey" published in ACM Comput. Surv. 58, 8, Article 202 (February 2026), 35 pages.

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Publication Details

Journal
ACM Computing Surveys
Published
2026-04-01
DOI
https://doi.org/10.1145/3801949
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Erratum: Adversarial Machine Learning in IoT Security: A Comprehensive Survey

Sana Ullah Jan, William J. Buchanan, Nikolaos Pitropakis, Jawad Ahmad
ACM Computing Surveys
Adversarial Robustness in Machine Learning
article

Erratum: Adversarial Machine Learning in IoT Security: A Comprehensive Survey

Sana Ullah Jan, William J. Buchanan, Nikolaos Pitropakis, Jawad Ahmad
article en

Abstract

This is an erratum for the article "Adversarial Machine Learning in IoT Security: A Comprehensive Survey" published in ACM Comput. Surv. 58, 8, Article 202 (February 2026), 35 pages.

ACM Computing SurveysVol. 58(10)
Prince Mohammad bin Fahd University (SA), The American College of Greece (GR), Edinburgh Napier University (GB)
Openalex Percentile: Top 26%
Adversarial Robustness in Machine Learning
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Erratum: Adversarial Machine Learning in IoT Security: A Comprehensive Survey — Sana Ullah Jan, William J. Buchanan, et al. · ACM Computing Surveys (2026) | TGRS Research Map | TGRS