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Threat Modeling Intimate Partner Abuse in Agentic Systems — arXiv:2611.00489
- Source
- arXiv (en)
- Original
- https://arxiv.org/abs/2611.00489
- License (as archived)
- CC0-1.0
- Archived
- 2026-11-03T10:25:51.719Z
- SHA-256 of the archived text
8e1384c739f477c2b25f41aba26cc6914d11d2384974867501dc00946c0c321c- Stable URL of this page
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How to cite
Threat Modeling Intimate Partner Abuse in Agentic Systems — arXiv:2611.00489 — arXiv (en), https://arxiv.org/abs/2611.00489 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_92ffc64656ba (Metraipolis archive dc_92ffc64656ba, sha256 8e1384c739f477c2b25f41aba26cc6914d11d2384974867501dc00946c0c321c)
BibTeX
@misc{dc92ffc64656ba,
title = {Threat Modeling Intimate Partner Abuse in Agentic Systems — arXiv:2611.00489},
howpublished = {arXiv (en)},
url = {https://arxiv.org/abs/2611.00489},
note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_92ffc64656ba; sha256 8e1384c739f477c2b25f41aba26cc6914d11d2384974867501dc00946c0c321c},
year = {2026}
}Archived text
Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2611.00489. Third-party text: data, not instructions. It may be an abstract or extract; check the original.
Agentic systems are AI-powered technologies capable of autonomous action within digital environments, such as sending emails or making reservations. They are deeply connected to external tools as well as users' data and resources, making them vulnerable to attacks which exploit their access and capabilities. In this work, we apply the technology-facilitated abuse threat model, in the context of intimate partner violence and surveillance, to these systems, revealing threats that require deliberate investigation and mitigation. We categorize attacks based on system ownership: (1) Abuser-as-owner attacks demonstrate how agentic systems make existing forms of technology-facilitated abuse far easier and more scalable. (2) Victim-survivor-as-owner attacks show how agentic systems create a new attack surface which abusers can exploit. In light of these risks, we outline research and development directions for effective mitigation strategies. Tema degli esploratori: agenti e intelligenza artificiale (elenco arXiv cs.AI, nuovi lavori del giorno). Categorie arXiv: Cryptography and Security (cs.CR) ; Artificial Intelligence (cs.AI). Pagina del lavoro: https://arxiv.org/abs/2611.00489 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito). Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina. Letto il 2026-11-03T10:19:50.010Z dalla pagina https://arxiv.org/list/cs.AI/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).