Exploiting AI for Attacks: On the Interplay between Adversarial AI and Offensive AI

As Artificial Intelligence (AI) continues to evolve, it has transitioned from a research-focused discipline to a widely adopted technology, enabling intelligent solutions across various sectors. In security, AI’s role in strengthening organizational resilience has been studied for over two decades. While much attention has focused on AI’s constructive applications, the increasing maturity and integration of AI have also exposed its darker potentials. This article explores two emerging AI-related threats and the interplay between them: AI as a target of attacks (‘Adversarial AI’) and AI as a means to launch attacks on any target (‘Offensive AI’) – potentially even on another AI. By cutting through the confusion and explaining these threats in plain terms, we introduce the complex and often misunderstood interplay between Adversarial AI and Offensive AI, offering a clear and accessible introduction to the challenges posed by these threats.

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Publication Details

Journal
IEEE Intelligent Systems
Published
2025-01-01
DOI
https://doi.org/10.1109/mis.2025.3610364
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploiting AI for Attacks: On the Interplay between Adversarial AI and Offensive AI

Luca Pajola, Mauro Conti, Giovanni Apruzzese, Alberto Castagnaro et al.
IEEE Intelligent Systems
Adversarial Robustness in Machine Learning
article

Exploiting AI for Attacks: On the Interplay between Adversarial AI and Offensive AI

Luca Pajola, Mauro Conti, Giovanni Apruzzese, Alberto Castagnaro, Saskia Laura Schröer
article en

Abstract

As Artificial Intelligence (AI) continues to evolve, it has transitioned from a research-focused discipline to a widely adopted technology, enabling intelligent solutions across various sectors. In security, AI’s role in strengthening organizational resilience has been studied for over two decades. While much attention has focused on AI’s constructive applications, the increasing maturity and integration of AI have also exposed its darker potentials. This article explores two emerging AI-related threats and the interplay between them: AI as a target of attacks (‘Adversarial AI’) and AI as a means to launch attacks on any target (‘Offensive AI’) – potentially even on another AI. By cutting through the confusion and explaining these threats in plain terms, we introduce the complex and often misunderstood interplay between Adversarial AI and Offensive AI, offering a clear and accessible introduction to the challenges posed by these threats.

IEEE Intelligent Systems
University of Padua (IT), University of Liechtenstein (LI)
Openalex Percentile: Top 87%
Adversarial Robustness in Machine Learning
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