SoK : On the Offensive Potential of AI

dc.contributor.authorSchroer, Saskia Laura
dc.contributor.authorApruzzese, Giovanni
dc.contributor.authorHuman, Soheil
dc.contributor.authorLaskov, Pavel
dc.contributor.authorAnderson, Hyrum S.
dc.contributor.authorBernroider, Edward W.N.
dc.contributor.authorFass, Aurore
dc.contributor.authorNassi, Ben
dc.contributor.authorRimmer, Vera
dc.contributor.authorRoli, Fabio
dc.contributor.authorSalam, Samer
dc.contributor.authorAshley Shen, Chi En
dc.contributor.authorSunyaev, Ali
dc.contributor.authorWadhwa-Brown, Tim
dc.contributor.authorWagner, Isabel
dc.contributor.authorWang, Gang
dc.contributor.departmentDepartment of Computer Science
dc.date.accessioned2026-09-24T14:00:01Z
dc.date.available2026-09-24T14:00:01Z
dc.date.issued2025
dc.descriptionPublisher Copyright: © 2025 IEEE.en
dc.description.abstractOur society increasingly benefits from Artificial Intelligence (AI). Unfortunately, more and more evidence shows that AI is also used for offensive purposes. Prior works have revealed various examples of use cases in which the deployment of AI can lead to violation of security and privacy objectives. No extant work, however, has been able to draw a holistic picture of the offensive potential of AI. In this SoK paper we seek to lay the ground for a systematic analysis of the heterogeneous capabilities of offensive AI. In particular we (i) account for AI risks to both humans and systems while (ii) consolidating and distilling knowledge from academic literature, expert opinions, industrial venues, as well as laypeople - all of which being valuable sources of information on offensive AI. To enable alignment of such diverse sources of knowledge, we devise a common set of criteria reflecting essential technological factors related to offensive AI. With the help of such criteria, we systematically analyze: 95 research papers; 38 InfoSec briefings (from, e.g., BlackHat); the responses of a user study (N=549) entailing individuals with diverse backgrounds and expertise; and the opinion of 12 experts. Our contributions not only reveal concerning ways (some of which overlooked by prior work) in which AI can be offensively used today, but also represent a foothold to address this threat in the years to come.en
dc.description.versionPeer revieweden
dc.format.extent34
dc.format.extent6057325
dc.format.extent247-280
dc.format.extent
dc.identifier.citationSchroer, S L, Apruzzese, G, Human, S, Laskov, P, Anderson, H S, Bernroider, E W N, Fass, A, Nassi, B, Rimmer, V, Roli, F, Salam, S, Ashley Shen, C E, Sunyaev, A, Wadhwa-Brown, T, Wagner, I & Wang, G 2025, SoK : On the Offensive Potential of AI. in Proceedings - 2025 IEEE Conference on Secure and Trustworthy Machine Learning, SaTML 2025. Proceedings - 2025 IEEE Conference on Secure and Trustworthy Machine Learning, SaTML 2025, Institute of Electrical and Electronics Engineers Inc., pp. 247-280, 2025 IEEE Conference on Secure and Trustworthy Machine Learning, SaTML 2025, Copenhagen, Denmark, 9/04/25. https://doi.org/10.1109/SaTML64287.2025.00021en
dc.identifier.citationconferenceen
dc.identifier.doi10.1109/SaTML64287.2025.00021
dc.identifier.isbn9798331517113
dc.identifier.other250863576
dc.identifier.other48ea0532-86c4-4383-8394-a0d5577d7666
dc.identifier.other105007295194
dc.identifier.urihttps://hdl.handle.net/20.500.11815/8358
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofseriesProceedings - 2025 IEEE Conference on Secure and Trustworthy Machine Learning, SaTML 2025; ()en
dc.relation.ispartofseriesProceedings - 2025 IEEE Conference on Secure and Trustworthy Machine Learning, SaTML 2025; ()en
dc.relation.urlhttps://www.scopus.com/pages/publications/105007295194en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.subjectcyber securityen
dc.subjectmachine learningen
dc.subjectsocietyen
dc.subjectComputer Vision and Pattern Recognitionen
dc.subjectSafety, Risk, Reliability and Qualityen
dc.subjectArtificial Intelligenceen
dc.titleSoK : On the Offensive Potential of AIen
dc.type/dk/atira/pure/researchoutput/researchoutputtypes/contributiontobookanthology/conferenceen

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