AI Security and Privacy

Dilli Prasad Sharma (), Arash Habibi Lashkari (), Mahdi Daghmehchi Firoozjaei (), Samaneh Mahdavifar () and Pulei Xiong ()
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Dilli Prasad Sharma: University of Toronto
Arash Habibi Lashkari: York University
Mahdi Daghmehchi Firoozjaei: MacEwan University
Samaneh Mahdavifar: McGill University
Pulei Xiong: National Research Council of Canada

Chapter Chapter 8 in Understanding AI in Cybersecurity and Secure AI, 2025, pp 137-158 from Springer

Abstract: Abstract This chapter provides an in-depth exploration of security and privacy concerns in Artificial Intelligence (AI), specifically focusing on the vulnerabilities and threats that arise from integrating AI systems. It begins with a discussion of AI’s security challenges, followed by a detailed examination of AI security and privacy attacks. This chapter also presents a comprehensive framework for analyzing adversarial attacks, including AI attack surface, attacker goals, attacker’s capabilities, and attack strategies. This framework enables a deeper understanding of attack types and their implications for AI security and privacy, providing critical insights into mitigating these risks in AI-driven systems.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-031-91524-6_8

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DOI: 10.1007/978-3-031-91524-6_8

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