Machine Learning in Computer Security is Difficult to Fix

This study is timely and exciting as it clearly points out some common issues hindering the design of ML models for computer security and how to overcome them. This witnesses once again that, despite the impressive performance reported in many of the published papers in this area, the reality is quite different, and applying ML in computer security is much more challenging than it may seem.

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Institutions

Publication Details

Journal
Communications of the ACM
Published
2024-10-25
DOI
https://doi.org/10.1145/3655635
Citations
1
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.35
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article

Machine Learning in Computer Security is Difficult to Fix

Battista Biggio
1 citations
Communications of the ACM
Network Security and Intrusion Detection
0.35
article

Machine Learning in Computer Security is Difficult to Fix

Battista Biggio
article en
1 citations

Abstract

This study is timely and exciting as it clearly points out some common issues hindering the design of ML models for computer security and how to overcome them. This witnesses once again that, despite the impressive performance reported in many of the published papers in this area, the reality is quite different, and applying ML in computer security is much more challenging than it may seem.

Communications of the ACMVol. 67(11)
University of Cagliari (IT)
Openalex Percentile: Top 37%
Network Security and Intrusion Detection
0.35
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Machine Learning in Computer Security is Difficult to Fix — Battista Biggio · Communications of the ACM (2024) | TGRS Research Map | TGRS