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Paper Citation Record · LEDGER

Secure human oversight of AI: Threat modeling in a socio-technical context

As of 10 August 2026, this Paper Citation Record lists 97 of 97 outbound references and 2 inbound Pith citation observations for arXiv:2509.12290.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2509.12290 v3

Coverage vector

measured 97 of 97 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:49:20.019017Z

measured 99 of 99 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T13:21:45.525765Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-21T13:24:11.312952Z

Reference resolution

97 of 97 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved97
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b2a124f5-240f-4708-be96-bc96520e2e7f · outbound

This paper cites On the quest for effectiveness in human oversight: Interdisciplinary perspectives.

Secure human oversight of AI: Threat modeling in a socio-technical context On the quest for effectiveness in human oversight: Interdisciplinary perspectives

Reference 1

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source=pdf_text observed=2026-08-04T16:49:13.959009Z digest=sha256:b503ef66d195f903b4cca73f41f334b195c47126bde7bfd94c8f954716e7f3c1

Observation 9cc2e947-09f0-4f05-a33a-8c682c070099 · outbound

This paper cites The flaws of policies requiring human oversight of government algorithms.Computer Law & Security Review, 45:105681, 2022.

Secure human oversight of AI: Threat modeling in a socio-technical context The flaws of policies requiring human oversight of government algorithms.Computer Law & Security Review, 45:105681, 2022

Reference 2

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source=pdf_text observed=2026-08-04T16:49:14.041786Z digest=sha256:7a6d5131ce3ac6be410e400132522d5660e39f2ee922d38edfff2ee9d6da65ce

Observation 960f05bf-1e0a-4d9a-8bd5-ef5c7eead341 · outbound

This paper cites an unresolved cited work.

Secure human oversight of AI: Threat modeling in a socio-technical context Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-04T16:49:14.161832Z digest=sha256:ad6ddf913a56a724cc2b74cec2e4bbb16f711676994279fb15effba81121e0a1

Observation f8a8388b-0311-43dd-a1fb-551fc0d6654d · outbound

This paper cites The dangers of faulty, biased, or malicious algorithms requires independent oversight.

Secure human oversight of AI: Threat modeling in a socio-technical context The dangers of faulty, biased, or malicious algorithms requires independent oversight

Reference 4

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source=pdf_text observed=2026-08-04T16:49:14.255627Z digest=sha256:2a7426b2aeaac012065628bfcf339b26e55e117c97451cb43bddf7240470b495

Observation 2ba8a32b-f2c0-4681-abc9-ab542a3b21d9 · outbound

This paper cites Effective human oversight of AI-Based systems: A signal detection perspective on the detection of inaccurate and unfair outputs.Minds and Machines, 2024.

Secure human oversight of AI: Threat modeling in a socio-technical context Effective human oversight of AI-Based systems: A signal detection perspective on the detection of inaccurate and unfair outputs.Minds and Machines, 2024

Reference 5

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source=pdf_text observed=2026-08-04T16:49:14.267959Z digest=sha256:1dac4cae40f005d5fc942b81048debdab4ec8aa2a9d070af281c8c3ffa830fc9

Observation a6a5b0a7-dac7-41d6-a68c-af711ebc42d6 · outbound

This paper cites ‘Human oversight’ in the EU artificial intelligence act: what, when and by whom?Law, Innovation and Technology, 15(2):508–535, July 2023.

Secure human oversight of AI: Threat modeling in a socio-technical context ‘Human oversight’ in the EU artificial intelligence act: what, when and by whom?Law, Innovation and Technology, 15(2):508–535, July 2023

Reference 6

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source=pdf_text observed=2026-08-04T16:49:14.359698Z digest=sha256:8861983a438fe26cee1e77f16ae1bc2ec6207549d098f2d012a3cef715d6ca80

Observation 5ddbbe04-5f1e-4fb2-84bf-4d08b181d5eb · outbound

This paper cites The global landscape of ai ethics guidelines.Nature machine intelligence, 1(9):389–399, 2019.

Secure human oversight of AI: Threat modeling in a socio-technical context The global landscape of ai ethics guidelines.Nature machine intelligence, 1(9):389–399, 2019

Reference 7

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source=pdf_text observed=2026-08-04T16:49:14.458279Z digest=sha256:2ad74ed104bc802348ae1ad4da0bc68d6aa4b03db03ffa43c830daa669ebe80e

Observation 004fc6af-b67c-4305-ae7d-08f4c8755df5 · outbound

This paper cites Vera Liao, and Chenhao Tan.

Secure human oversight of AI: Threat modeling in a socio-technical context Vera Liao, and Chenhao Tan

Reference 8

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source=pdf_text observed=2026-08-04T16:49:14.594858Z digest=sha256:6a0babbe8f020a28c47e0936525c08d3af112d34f656e6fbd7f5c37bee8d6821

Observation 161fc6b8-2ce0-4a7a-8654-c372de7b93c6 · outbound

This paper cites Does the whole exceed its parts? The effect of AI explanations on complementary team performance.

Secure human oversight of AI: Threat modeling in a socio-technical context Does the whole exceed its parts? The effect of AI explanations on complementary team performance

Reference 9

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source=pdf_text observed=2026-08-04T16:49:14.710868Z digest=sha256:721d9b3ededcb81afbfe9ed17681c69099d57c6a624b9ac9db7c9ccd9968efd3

Observation 5f63416c-6c38-418e-a713-bf5ac8f456c1 · outbound

This paper cites Pont, and Alessandro Bozzon.

Secure human oversight of AI: Threat modeling in a socio-technical context Pont, and Alessandro Bozzon

Reference 10

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source=pdf_text observed=2026-08-04T16:49:14.831926Z digest=sha256:b59b3a47c35c099a4c28d99116a8a5c22c5a853aece14e0d9c8796c624e5b6c3

Observation cd5eb4c5-430e-4d18-b623-556613db5401 · outbound

This paper cites Vera Liao, Elizabeth Anne Watkins, Carina Manger, Hal Daumé III, Andreas Riener, and Mark O Riedl.

Secure human oversight of AI: Threat modeling in a socio-technical context Vera Liao, Elizabeth Anne Watkins, Carina Manger, Hal Daumé III, Andreas Riener, and Mark O Riedl

Reference 11

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source=pdf_text observed=2026-08-04T16:49:14.937648Z digest=sha256:2400c16c70064a569b877cb117a2f765c383b8e8a59f8963709cb88a79c2cede

Observation 7f3de0f5-7c23-431e-9e78-314d63581327 · outbound

This paper cites Vera Liao, Daniel Gruen, and Sarah Miller.

Secure human oversight of AI: Threat modeling in a socio-technical context Vera Liao, Daniel Gruen, and Sarah Miller

Reference 12

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source=pdf_text observed=2026-08-04T16:49:15.045148Z digest=sha256:d5a25c590a0eb60e3c39f0a70849e7a433231f8773355b926e60e9081c7c07cb

Observation 1fad6104-dc0f-48dc-b799-ad1b073175c4 · outbound

This paper cites Vera Liao, Ricardo Baeza-Yates, Lora Aroyo, Jess Holbrook, Ewa Luger, Michael Madaio, Ilana Golbin Blumenfeld, Maria De-Arteaga, Jessica Vitak, and Alexandra Olteanu.

Secure human oversight of AI: Threat modeling in a socio-technical context Vera Liao, Ricardo Baeza-Yates, Lora Aroyo, Jess Holbrook, Ewa Luger, Michael Madaio, Ilana Golbin Blumenfeld, Maria De-Arteaga, Jessica Vitak, and Alexandra Olteanu

Reference 13

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source=pdf_text observed=2026-08-04T16:49:15.191744Z digest=sha256:7c370ee2721273559468fcee764651baf5a23eeb3a4428a82eeefab58a4e2cbc

Observation cbcbc619-c6ac-4758-b01b-d2def67f3715 · outbound

This paper cites Human-Centered Explainable AI (XAI): From Algorithms to User Experiences.

Secure human oversight of AI: Threat modeling in a socio-technical context Human-Centered Explainable AI (XAI): From Algorithms to User Experiences

Reference 14

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source=pdf_text observed=2026-08-04T16:49:15.284879Z digest=sha256:9651d58869d4ca7114955aa8c6e61340cb298d9c49090c7bff462263c21e54aa

Observation fff4bfb9-8c8f-4a04-84f6-f9766d8022e8 · outbound

This paper cites Optimizing decision-maker’s intrinsic motivation for effective human-ai decision-making.

Secure human oversight of AI: Threat modeling in a socio-technical context Optimizing decision-maker’s intrinsic motivation for effective human-ai decision-making

Reference 15

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source=pdf_text observed=2026-08-04T16:49:15.402577Z digest=sha256:532b8f192b5d57e9c94155ef29cd8a780983ccfc617fd7a3fa9508a77d88608d

Observation 0dc56b98-af62-4847-95b5-57563cbc337f · outbound

This paper cites McBride, Wendy A.

Secure human oversight of AI: Threat modeling in a socio-technical context McBride, Wendy A

Reference 16

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source=pdf_text observed=2026-08-04T16:49:15.491342Z digest=sha256:0668fcda29c660bae0157bc517fa02c0a89fdafcfc6a49b95ea6a7998c616627

Observation 765c3453-e922-42f0-91f4-fef6c12b6ed2 · outbound

This paper cites Work with ai and work for ai: Autonomous vehicle safety drivers’ lived experiences.

Secure human oversight of AI: Threat modeling in a socio-technical context Work with ai and work for ai: Autonomous vehicle safety drivers’ lived experiences

Reference 17

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source=pdf_text observed=2026-08-04T16:49:15.647183Z digest=sha256:62d25e044e81aadfc62e36ef99b730ec960d2964c10ca0773a77f6de27747394

Observation 0731abfa-9d69-4ec7-8f3d-409d89ce86ec · outbound

This paper cites this chatbot would never.

Secure human oversight of AI: Threat modeling in a socio-technical context this chatbot would never

Reference 18

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source=pdf_text observed=2026-08-04T16:49:15.781056Z digest=sha256:e241d76e066b59d07c8a9ead95b6459892f92dc8521f95a3f5703ad9f9bf1a76

Observation ad599331-c91a-4196-b213-b6700a746081 · outbound

This paper cites Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy.International Journal of Human–Computer Interaction, 36(6):495–504, April 2020.

Secure human oversight of AI: Threat modeling in a socio-technical context Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy.International Journal of Human–Computer Interaction, 36(6):495–504, April 2020

Reference 19

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source=pdf_text observed=2026-08-04T16:49:15.890094Z digest=sha256:16c9d201cecfd878aeb146fd7735bdfc8d842aff611779424204fb2d85abdc5f

Observation 9c43a32e-aace-4887-b62a-dfa1fb4836c7 · outbound

This paper cites Why does automation adoption in organizations remain a fallacy?: Scrutinizing practitioners’ imaginaries in an international airport.

Secure human oversight of AI: Threat modeling in a socio-technical context Why does automation adoption in organizations remain a fallacy?: Scrutinizing practitioners’ imaginaries in an international airport

Reference 20

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source=pdf_text observed=2026-08-04T16:49:15.995762Z digest=sha256:8dc2b4e7739280baf0d2e461b868b0be5bfbb8054b5f0fd2ec001b7221a9d2fa

Observation b54cc00e-829f-4720-8073-6abacc5d68a5 · outbound

This paper cites The more you know: Trust dynamics and calibration in highly automated driving and the effects of take-overs, system malfunction, and system transparency.

Secure human oversight of AI: Threat modeling in a socio-technical context The more you know: Trust dynamics and calibration in highly automated driving and the effects of take-overs, system malfunction, and system transparency

Reference 21

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source=pdf_text observed=2026-08-04T16:49:16.116148Z digest=sha256:8450d3f735311c67320c03dd8d4036767e4651c8a04f0b952b0e0b20aa4e2ee6

Observation d429e8b7-bfc6-455e-bc43-83d6acd75ece · outbound

This paper cites (beyond) reasonable doubt: Challenges that public defenders face in scrutinizing ai in court.

Secure human oversight of AI: Threat modeling in a socio-technical context (beyond) reasonable doubt: Challenges that public defenders face in scrutinizing ai in court

Reference 22

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source=pdf_text observed=2026-08-04T16:49:16.245330Z digest=sha256:d048b9ad7f81d22a0197880c393af14dd029e4959cbe7e7817e16eb0c2a1d270

Observation 720c4ba7-51f5-464c-8355-ef0a0b0e6bab · outbound

This paper cites Exploring what people need to know to be ai literate: Tailoring for a diversity of ai roles and responsibilities.

Secure human oversight of AI: Threat modeling in a socio-technical context Exploring what people need to know to be ai literate: Tailoring for a diversity of ai roles and responsibilities

Reference 23

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source=pdf_text observed=2026-08-04T16:49:16.395072Z digest=sha256:3e1ca11f155a9fb2c012c5681af4964f36974195b6bc8354219320dd28862d87

Observation 22334169-13c2-48df-b9ab-f68afac214dd · outbound

This paper cites Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, and Eric Horvitz.

Secure human oversight of AI: Threat modeling in a socio-technical context Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, and Eric Horvitz

Reference 24

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source=pdf_text observed=2026-08-04T16:49:16.491094Z digest=sha256:5fa43be8f344aee457fce2533671ba5aebc57f70d4fc6dfff7ce11e849faca1d

Observation a590497a-bae2-4f39-9375-6bc307653634 · outbound

This paper cites an unresolved cited work.

Secure human oversight of AI: Threat modeling in a socio-technical context Unresolved cited work

Reference 25

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source=pdf_text observed=2026-08-04T16:49:16.610995Z digest=sha256:35c4bf71048a64d5813475e032519c92761319a038b7b47a2eea1ce408e1830a

Observation f81b13c1-5147-4452-bc70-73b88b63f402 · outbound

This paper cites Explanation in artificial intelligence: Insights from the social sciences.Artificial Intelligence, 267:1–38, February 2019.

Secure human oversight of AI: Threat modeling in a socio-technical context Explanation in artificial intelligence: Insights from the social sciences.Artificial Intelligence, 267:1–38, February 2019

Reference 26

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source=pdf_text observed=2026-08-04T16:49:16.745921Z digest=sha256:b2faac00cee6dfbf328338382243ef57959d536bf2697f4ad66d71fcc69c56b9

Observation d07aa97d-cde3-4992-91f4-e3c945721cb2 · outbound

This paper cites an unresolved cited work.

Secure human oversight of AI: Threat modeling in a socio-technical context Unresolved cited work

Reference 27

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source=pdf_text observed=2026-08-04T16:49:16.817756Z digest=sha256:28600a85b99077bb910223dd336bb5c220a120ad87f9733d5ee3a17aadbb6ce6

Observation 7de4ae97-d2c6-4d65-942b-17a6d91e3120 · outbound

This paper cites Chen, Afshin Nikzad, and Niloufar Salehi.

Secure human oversight of AI: Threat modeling in a socio-technical context Chen, Afshin Nikzad, and Niloufar Salehi

Reference 28

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source=pdf_text observed=2026-08-04T16:49:16.903059Z digest=sha256:e7ca4a33d098ff836ca3f7168f3531bfb9a3c2b0c398722c2b331737b1b470ac

Observation 24b4f6ca-f06a-4fb0-9575-de26bf084748 · outbound

This paper cites Parker and Gudela Grote.

Secure human oversight of AI: Threat modeling in a socio-technical context Parker and Gudela Grote

Reference 29

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source=pdf_text observed=2026-08-04T16:49:17.025887Z digest=sha256:96abe4cf979b653463ed0ee3ab6777cb63ed30a83b73a76401fe8cf9002318e5

Observation 2740744d-a1d6-4ebb-bce2-ec79b3c94069 · outbound

This paper cites Attack surface definitions: A systematic literature review.Information and Software Technology, 104:94–103, 2018.

Secure human oversight of AI: Threat modeling in a socio-technical context Attack surface definitions: A systematic literature review.Information and Software Technology, 104:94–103, 2018

Reference 30

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source=pdf_text observed=2026-08-04T16:49:17.155025Z digest=sha256:b564270dd2680cdde92e416429c876fd1e8a923af73403aa53cbe9f32e01d1a8

Observation 7c5c4541-56c7-42db-9b39-6ea67edd3cb3 · outbound

This paper cites Autonomous driving security: State of the art and challenges.IEEE Internet of Things Journal, 9(10):7572–7595, 2021.

Secure human oversight of AI: Threat modeling in a socio-technical context Autonomous driving security: State of the art and challenges.IEEE Internet of Things Journal, 9(10):7572–7595, 2021

Reference 31

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source=pdf_text observed=2026-08-04T16:49:17.239615Z digest=sha256:c07abcd0389e370e72ca43eae40b9871e2da299a80c830c8bb2f9b82d6ecc05c

Observation 64402ec5-d8f8-4852-a321-d37a4b222e65 · outbound

This paper cites Federated learning attack surface: taxonomy, cyber defences, challenges, and future directions.Artificial Intelligence Review, 55(5):3569–3606, 2022.

Secure human oversight of AI: Threat modeling in a socio-technical context Federated learning attack surface: taxonomy, cyber defences, challenges, and future directions.Artificial Intelligence Review, 55(5):3569–3606, 2022

Reference 32

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source=pdf_text observed=2026-08-04T16:49:17.375425Z digest=sha256:44d0d44ef56f344f679760f9b5ec38331406d39e2f6fb6e51e0a4dd0c23a1478

Observation 79e9867b-7a8e-4bfe-8926-74bc60ffe667 · outbound

This paper cites Poison frogs! targeted clean-label poisoning attacks on neural networks.Advances in neural information processing systems, 31, 2018.

Secure human oversight of AI: Threat modeling in a socio-technical context Poison frogs! targeted clean-label poisoning attacks on neural networks.Advances in neural information processing systems, 31, 2018

Reference 33

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source=pdf_text observed=2026-08-04T16:49:17.475810Z digest=sha256:ce17989362458dd4b6486119185ed46582f6a4e7693ecd3c6ac97c73885d017c

Observation fa58b8a9-fcfb-4ade-8616-3b8363a7d320 · outbound

This paper cites Badnets: Evaluating backdooring attacks on deep neural networks.Ieee Access, 7:47230–47244, 2019.

Secure human oversight of AI: Threat modeling in a socio-technical context Badnets: Evaluating backdooring attacks on deep neural networks.Ieee Access, 7:47230–47244, 2019

Reference 34

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source=pdf_text observed=2026-08-04T16:49:17.570921Z digest=sha256:b8e799b7981846dc38801b9b98b018c1d8e2b87349ea1a65b4a9968e1e083361

Observation aca12e53-d1ce-4460-af6f-cef214839ffd · outbound

This paper cites Subpopulation data poisoning attacks.

Secure human oversight of AI: Threat modeling in a socio-technical context Subpopulation data poisoning attacks

Reference 35

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source=pdf_text observed=2026-08-04T16:49:17.628085Z digest=sha256:87e7aaaea54d89384f9239e6cf07ec5ea38b48bb6b0a84eed67841897ecd14be

Observation 596a1ec4-19ee-4bc5-b039-9092feac2d99 · outbound

This paper cites Adversarial attacks on neural network policies.International conference on learning representations, 2017.

Secure human oversight of AI: Threat modeling in a socio-technical context Adversarial attacks on neural network policies.International conference on learning representations, 2017

Reference 36

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Observation 95ae001e-3fb9-41ca-94bc-4360b75a1032 · outbound

This paper cites Adversarial attacks on neural networks for graph data.

Secure human oversight of AI: Threat modeling in a socio-technical context Adversarial attacks on neural networks for graph data

Reference 37

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Observation dbc1c43e-721b-4b45-983c-ddf4cc660dd1 · outbound

This paper cites Threat of adversarial attacks on deep learning in computer vision: A survey.

Secure human oversight of AI: Threat modeling in a socio-technical context Threat of adversarial attacks on deep learning in computer vision: A survey

Reference 38

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Observation 5ac071d8-521a-423a-9679-9e27a97a4a59 · outbound

This paper cites Fooling lime and shap: Adversarial attacks on post hoc explanation methods.

Secure human oversight of AI: Threat modeling in a socio-technical context Fooling lime and shap: Adversarial attacks on post hoc explanation methods

Reference 39

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Observation 92d54c9c-5e00-4fe2-9320-4e8596f118e2 · outbound

This paper cites Fairwashing: the risk of rationalization.

Secure human oversight of AI: Threat modeling in a socio-technical context Fairwashing: the risk of rationalization

Reference 40

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source=pdf_text observed=2026-08-04T16:49:18.047860Z digest=sha256:71cff80eb751c228e498ef62fcaed4d32dd17769fa741bfb791a90cef136e4ad

Observation 370a1dec-3603-4bfc-9f6e-a6647ea7eece · outbound

This paper cites Counterfactual explanations can be manipulated.Advances in neural information processing systems, 34:62–75, 2021.

Secure human oversight of AI: Threat modeling in a socio-technical context Counterfactual explanations can be manipulated.Advances in neural information processing systems, 34:62–75, 2021

Reference 41

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Observation 592fbe8c-0594-4786-a0e3-bd1d9ed3c455 · outbound

This paper cites Distributed denial of service attacks.

Secure human oversight of AI: Threat modeling in a socio-technical context Distributed denial of service attacks

Reference 42

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Observation d47041ca-b63d-49e8-989d-84cba5d8f48f · outbound

This paper cites An analysis of using reflectors for distributed denial-of-service attacks.ACM SIGCOMM Computer Communication Review, 31(3):38–47, 2001.

Secure human oversight of AI: Threat modeling in a socio-technical context An analysis of using reflectors for distributed denial-of-service attacks.ACM SIGCOMM Computer Communication Review, 31(3):38–47, 2001

Reference 43

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source=pdf_text observed=2026-08-04T16:49:18.555806Z digest=sha256:b2e8b2ca073f5bebb2ba8a1792e0485dca7ac89b3c83eafc28669223108d7a67

Observation 3ab862d5-7aed-4848-bb6f-9beed58e2f91 · outbound

This paper cites A survey of man in the middle attacks.IEEE communications surveys & tutorials, 18(3):2027–2051, 2016.

Secure human oversight of AI: Threat modeling in a socio-technical context A survey of man in the middle attacks.IEEE communications surveys & tutorials, 18(3):2027–2051, 2016

Reference 44

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Observation 5fa8c0d3-a53d-4c57-b343-6c31405f4f0a · outbound

This paper cites The world of malware: An overview.

Secure human oversight of AI: Threat modeling in a socio-technical context The world of malware: An overview

Reference 45

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source=pdf_text observed=2026-08-04T16:49:18.780922Z digest=sha256:44ce44c53ff675ed8a340b30f5378d17ddc82eeacc13b925e1d94d5f9c487f44

Observation 9c03741d-0e9d-4e47-8634-e527a211e716 · outbound

This paper cites Collaborative work in malware analysis: Understanding the roles and challenges of malware analysts.

Secure human oversight of AI: Threat modeling in a socio-technical context Collaborative work in malware analysis: Understanding the roles and challenges of malware analysts

Reference 46

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Observation 4a65b09a-638d-4ec0-84b3-faac2fb56977 · outbound

This paper cites delaying.

Secure human oversight of AI: Threat modeling in a socio-technical context delaying

Reference 47

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Observation d729f259-c6c3-4621-959c-7655e9f6e5f0 · outbound

This paper cites The influence of context on response to spear-phishing attacks: an in-situ deception study.

Secure human oversight of AI: Threat modeling in a socio-technical context The influence of context on response to spear-phishing attacks: an in-situ deception study

Reference 48

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source=pdf_text observed=2026-08-04T16:49:18.933288Z digest=sha256:811cb0250afbc385ca40e2037498a35c039c018bf8f05efa70eb6ec1091a941e

Observation 2211b3aa-e257-4f19-b692-f1c9170eb949 · outbound

This paper cites Corruption as a cybersecurity threat in the new world order.Connections: The Quarterly Journal, 20(2):75–87, 2021.

Secure human oversight of AI: Threat modeling in a socio-technical context Corruption as a cybersecurity threat in the new world order.Connections: The Quarterly Journal, 20(2):75–87, 2021

Reference 49

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source=pdf_text observed=2026-08-04T16:49:19.081575Z digest=sha256:97771539fcbd0533427778d3f1992a67b5c95297e0f9b1e06b9c6b12cb573426

Observation ceae6c8c-0b17-4aef-9da7-fb7fc57980cf · outbound

This paper cites Coercion in cybersecurity: What public health models reveal.Journal of Cybersecurity, 3(3):173– 183, 2017.

Secure human oversight of AI: Threat modeling in a socio-technical context Coercion in cybersecurity: What public health models reveal.Journal of Cybersecurity, 3(3):173– 183, 2017

Reference 50

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source=pdf_text observed=2026-08-04T16:49:19.207303Z digest=sha256:65285c2c204a3886b8915abbd5861c36fd6191663fb8dd87d56404b331145bd8

Observation 517b9a33-9a17-4086-9f73-54a810bdc2fb · outbound

This paper cites The dark triad and insider threats in cyber security.Communications of the ACM, 63(12):64–80, 2020.

Secure human oversight of AI: Threat modeling in a socio-technical context The dark triad and insider threats in cyber security.Communications of the ACM, 63(12):64–80, 2020

Reference 51

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Observation b9c7a776-178a-4975-a75b-873f0f42ed8e · outbound

This paper cites Developing cyber resilient systems: a systems security engineering approach.

Secure human oversight of AI: Threat modeling in a socio-technical context Developing cyber resilient systems: a systems security engineering approach

Reference 52

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source=pdf_text observed=2026-08-04T16:49:19.386101Z digest=sha256:d692c20cd08c4360a17e6a09b759c0f6c2b330903196933e647ee834247e8aca

Observation f39ef05b-43dc-44a0-a1f5-c87a0b061a8b · outbound

This paper cites A taxonomy of cyber defence strategies against false data attacks in smart grids.ACM Computing Surveys, 55(14s):1–37, 2023.

Secure human oversight of AI: Threat modeling in a socio-technical context A taxonomy of cyber defence strategies against false data attacks in smart grids.ACM Computing Surveys, 55(14s):1–37, 2023

Reference 53

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source=pdf_text observed=2026-08-04T16:49:19.498457Z digest=sha256:a8db7f48b4f0f132cb7387bfd238ad9372d3201dc9c04d8dc08553551b1e3441

Observation 35f12933-3cd2-410b-916b-4946cba49c22 · outbound

This paper cites Automated adversary-in-the-loop cyber-physical defense planning.ACM Transactions on Cyber-Physical Systems, 7(3):1–25, 2023.

Secure human oversight of AI: Threat modeling in a socio-technical context Automated adversary-in-the-loop cyber-physical defense planning.ACM Transactions on Cyber-Physical Systems, 7(3):1–25, 2023

Reference 54

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source=pdf_text observed=2026-08-04T16:49:19.612391Z digest=sha256:123143f02697fc86c4ce677665c9b8c96a5b0a245cb73df3e75a66b55c273eea

Observation 5682a335-e8e3-42a2-87c4-a86310d05867 · outbound

This paper cites Prentice-Hall, Inc., 1995.

Secure human oversight of AI: Threat modeling in a socio-technical context Prentice-Hall, Inc., 1995

Reference 55

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source=pdf_text observed=2026-08-04T16:49:19.694591Z digest=sha256:0e4bece225f3193e3a39959c159e6b10aa166765f2dd61d67f7102c114a19ebe

Observation 3ba547cc-3435-4595-9918-e1882bdf7fc1 · outbound

This paper cites Reconsidering network management interfaces for communities.

Secure human oversight of AI: Threat modeling in a socio-technical context Reconsidering network management interfaces for communities

Reference 56

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Observation 37de287f-cc8b-4fcd-8ef1-caac85123149 · outbound

This paper cites CRC press, 2018.

Secure human oversight of AI: Threat modeling in a socio-technical context CRC press, 2018

Reference 57

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source=pdf_text observed=2026-08-04T16:49:19.841394Z digest=sha256:de3ccb9cc7721f32d696e5d1e59b39a245df5bdfa77c51b6ad8728312d3f8a6c

Observation 1e780e77-df2f-4ee3-9b35-dadf63126e8a · outbound

This paper cites The impact of risk appeal approaches on users’ sharing confidential information.

Secure human oversight of AI: Threat modeling in a socio-technical context The impact of risk appeal approaches on users’ sharing confidential information

Reference 58

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source=pdf_text observed=2026-08-04T16:49:19.845185Z digest=sha256:0884982794c9d2be8baa4d1f17eb2f09baf7f1f73082742d38b6ac1884bbd6fb

Observation 3929cd3c-e1b9-40e3-a93d-396239a501dc · outbound

This paper cites Survey of intrusion detection systems: techniques, datasets and challenges.Cybersecurity, 2(1):1–22, 2019.

Secure human oversight of AI: Threat modeling in a socio-technical context Survey of intrusion detection systems: techniques, datasets and challenges.Cybersecurity, 2(1):1–22, 2019

Reference 59

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source=pdf_text observed=2026-08-04T16:49:19.848975Z digest=sha256:1fde0df90ab9ca84e69d188d184a7067eb7b26130e180525a2b4885673b85579

Observation 6cfd80f2-54bd-4f7d-8ac2-d95fedb6b6cc · outbound

This paper cites Transformers and large language models for efficient intrusion detection systems: A comprehen- sive survey.Information Fusion, page 103347, 2025.

Secure human oversight of AI: Threat modeling in a socio-technical context Transformers and large language models for efficient intrusion detection systems: A comprehen- sive survey.Information Fusion, page 103347, 2025

Reference 60

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source=pdf_text observed=2026-08-04T16:49:19.853041Z digest=sha256:db10e37f878161756ffebe4f2de2fee2dd23e6fc14b9ddcb8f9752be146ae0a6

Observation 324cc4b8-50c0-45ba-b1a1-7d0e788f978f · outbound

This paper cites Apress, 2019.

Secure human oversight of AI: Threat modeling in a socio-technical context Apress, 2019

Reference 61

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Observation b1bf5947-578b-4ea6-9c1e-c4afc9eec41c · outbound

This paper cites The human factor in ai red teaming: Perspectives from social and collaborative computing.

Secure human oversight of AI: Threat modeling in a socio-technical context The human factor in ai red teaming: Perspectives from social and collaborative computing

Reference 62

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Observation 37c65810-1e0e-4269-accb-3262eef51663 · outbound

This paper cites John Wiley & Sons, 2023.

Secure human oversight of AI: Threat modeling in a socio-technical context John Wiley & Sons, 2023

Reference 63

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source=pdf_text observed=2026-08-04T16:49:19.865332Z digest=sha256:e1261397d40773e4723ff79f4d41e036ab546220c716a81fffa1f906ab9d8cc4

Observation 3780d1df-06ad-4380-83d4-c8a167686aae · outbound

This paper cites security by obscurity.

Secure human oversight of AI: Threat modeling in a socio-technical context security by obscurity

Reference 64

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source=pdf_text observed=2026-08-04T16:49:19.869348Z digest=sha256:d193794df4722d649ff9a609db692df85f88e0aaed27fdae48a7fdc0b7522ab1

Observation a20ef223-a72d-42d6-8049-c10ac2d7d73f · outbound

This paper cites A comprehensive cybersecurity audit model to improve cybersecurity assurance: The cybersecurity audit model (csam).

Secure human oversight of AI: Threat modeling in a socio-technical context A comprehensive cybersecurity audit model to improve cybersecurity assurance: The cybersecurity audit model (csam)

Reference 65

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source=pdf_text observed=2026-08-04T16:49:19.873546Z digest=sha256:f39f6f160d0fd0af1ff52a38740b300f83c93a27350b01f0203aa5cf6c2d78f9

Observation 7903d7cf-b7b5-4905-8a49-053dd6274abc · outbound

This paper cites Governing ai safety through independent audits.Nature Machine Intelligence, 3(7):566–571, 2021.

Secure human oversight of AI: Threat modeling in a socio-technical context Governing ai safety through independent audits.Nature Machine Intelligence, 3(7):566–571, 2021

Reference 66

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source=pdf_text observed=2026-08-04T16:49:19.877378Z digest=sha256:2636bf1c309f884f671f9e725c5e1fda88c4562d6fae219d1747898e95044531

Observation 91850340-e6c7-4642-ad39-ab42ce27c221 · outbound

This paper cites Train as you fight: Evaluating authentic cybersecurity training in cyber ranges.

Secure human oversight of AI: Threat modeling in a socio-technical context Train as you fight: Evaluating authentic cybersecurity training in cyber ranges

Reference 67

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source=pdf_text observed=2026-08-04T16:49:19.881564Z digest=sha256:e9126cfb105e679e71fbe77e116ff74093752a94b4219935c4ec920ca932b518

Observation 705c50f4-1e96-412a-96ca-f81d86fc2039 · outbound

This paper cites Understanding and improving user adoption and security awareness in password checkup services.

Secure human oversight of AI: Threat modeling in a socio-technical context Understanding and improving user adoption and security awareness in password checkup services

Reference 68

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source=pdf_text observed=2026-08-04T16:49:19.885227Z digest=sha256:0eec16e3f573374149223c185e7048ab70a8e5284d4e11a1bd0cee0b1fcfbfc5

Observation d6216aa5-5427-4374-898f-d68a4504b423 · outbound

This paper cites Concrete Problems in AI Safety.

Secure human oversight of AI: Threat modeling in a socio-technical context Concrete Problems in AI Safety

Reference 69

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source=pdf_text observed=2026-08-04T16:49:19.890166Z digest=sha256:2fb3dabbada2f96aa59d2f2f69c7c861732acf57055b84dfc81632cb59ce9a4e

Observation ac09ee86-c2de-47bd-b2ba-9ed782366d1f · outbound

This paper cites Frontier Models are Capable of In-context Scheming.

Secure human oversight of AI: Threat modeling in a socio-technical context Frontier Models are Capable of In-context Scheming

Reference 70

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source=pdf_text observed=2026-08-04T16:49:19.894946Z digest=sha256:22dc804308903df28d8e0dcbd08155144ff454f8613087841c7906d8826eb4bb

Observation c3ae396e-0548-4095-bdbd-7ca8c3d0cda8 · outbound

This paper cites Balancing transparency and risk: An overview of the security and privacy risks of open-source machine learning models.

Secure human oversight of AI: Threat modeling in a socio-technical context Balancing transparency and risk: An overview of the security and privacy risks of open-source machine learning models

Reference 71

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source=pdf_text observed=2026-08-04T16:49:19.899589Z digest=sha256:7c5b78e9a9b22da12a70bac027927f4b41e4997a1d6fdf84674b68e99203c383

Observation 3c29f643-7dd6-4dd3-977e-8e2ce32ab49b · outbound

This paper cites Generative AI Models: Opportunities and Risks for Industry and Authorities.

Secure human oversight of AI: Threat modeling in a socio-technical context Generative AI Models: Opportunities and Risks for Industry and Authorities

Reference 72

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source=pdf_text observed=2026-08-04T16:49:19.903619Z digest=sha256:2333e69e797c3f4fecd0b541117ca6872d03e4e7cd08e0640cd0a85fc6e15804

Observation ba0e5bff-4b24-426b-ae50-0e8312613f9e · outbound

This paper cites Invisible backdoor attack with sample-specific triggers.

Secure human oversight of AI: Threat modeling in a socio-technical context Invisible backdoor attack with sample-specific triggers

Reference 73

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source=pdf_text observed=2026-08-04T16:49:19.908603Z digest=sha256:ee0186b314b91e54625c49523398f2a1c56ebad42ec4a12bcde91913839e10b9

Observation 192d2f85-470b-473e-ac66-0c556a818070 · outbound

This paper cites Explainable artificial intelligence in an adversarial context.

Secure human oversight of AI: Threat modeling in a socio-technical context Explainable artificial intelligence in an adversarial context

Reference 74

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source=pdf_text observed=2026-08-04T16:49:19.913012Z digest=sha256:cd5b1929c8c0cfe3566850b329f44c07d280c43c047e0d7b673e95a72bb1fc9c

Observation cf5b5222-230e-4723-a165-091d1063426f · outbound

This paper cites Bridging the transparency gap: What can explainable ai learn from the ai act? InECAI 2023, pages 964–971.

Secure human oversight of AI: Threat modeling in a socio-technical context Bridging the transparency gap: What can explainable ai learn from the ai act? InECAI 2023, pages 964–971

Reference 75

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source=pdf_text observed=2026-08-04T16:49:19.917668Z digest=sha256:9f9d04c4789e25016267388a7b9dab2fd67fbf9ce34862f0a7559a06cc095b06

Observation f83749eb-852c-4aab-9b22-cd7d1120c380 · outbound

This paper cites Explainable artificial intelligence (xai): Concepts, taxonomies, opportunities and challenges toward responsible ai.Information Fusion, 58:82–115, June 2020.

Secure human oversight of AI: Threat modeling in a socio-technical context Explainable artificial intelligence (xai): Concepts, taxonomies, opportunities and challenges toward responsible ai.Information Fusion, 58:82–115, June 2020

Reference 76

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source=pdf_text observed=2026-08-04T16:49:19.921895Z digest=sha256:a069bc596acf2f553df1ee8b59b64eb722a5f62dcff25846f1b68a45c48bd09c

Observation bae7e247-dffd-48b4-b249-f03cfcdef6a0 · outbound

This paper cites Sides: Separating idealization from deceptive’explanations’ in xai.

Secure human oversight of AI: Threat modeling in a socio-technical context Sides: Separating idealization from deceptive’explanations’ in xai

Reference 77

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source=pdf_text observed=2026-08-04T16:49:19.926393Z digest=sha256:52fa76d487c78ce219bcf14edfe197113af8261b24d76ed1ef7a1c2a8d3bc8a2

Observation 8ada4415-40da-4384-8e61-2163454bef04 · outbound

This paper cites an unresolved cited work.

Secure human oversight of AI: Threat modeling in a socio-technical context Unresolved cited work

Reference 78

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source=pdf_text observed=2026-08-04T16:49:19.930287Z digest=sha256:ee9b4c103b05b597f077901c21abfe6c217b92344bb68de725767ca8dd5891a7

Observation c5800bde-aa60-4a23-9072-f8bb8dc2bb96 · outbound

This paper cites Ddos attacks in cloud computing: Issues, taxonomy, and future directions.Computer Communications, 107:30–48, July 2017.

Secure human oversight of AI: Threat modeling in a socio-technical context Ddos attacks in cloud computing: Issues, taxonomy, and future directions.Computer Communications, 107:30–48, July 2017

Reference 79

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source=pdf_text observed=2026-08-04T16:49:19.935478Z digest=sha256:e9b59becc1545ccf7e98264b906fcce3a3581bb882b58fe1249cc6b19bbd6c66

Observation 6cf5ab9f-c103-4181-8f3f-879e09114c80 · outbound

This paper cites Dos- and ddos attacks, 2022.

Secure human oversight of AI: Threat modeling in a socio-technical context Dos- and ddos attacks, 2022

Reference 80

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source=pdf_text observed=2026-08-04T16:49:19.939733Z digest=sha256:2a44f7c5e9ce49a7459cf46918b61789a3eeac067852d1b0a915a1220d871389

Observation 13bdaf69-4b9e-411b-92fd-ed22b1e8804e · outbound

This paper cites Before we knew it: an empirical study of zero-day attacks in the real world.

Secure human oversight of AI: Threat modeling in a socio-technical context Before we knew it: an empirical study of zero-day attacks in the real world

Reference 81

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source=pdf_text observed=2026-08-04T16:49:19.944289Z digest=sha256:665f33335ae4a3009da25f444a906f26cc4eadba3f82eeebc049f8f9658a4038

Observation 06015a45-cf46-48a8-9d12-c8d102dfc223 · outbound

This paper cites What is malware?, 2024.

Secure human oversight of AI: Threat modeling in a socio-technical context What is malware?, 2024

Reference 82

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source=pdf_text observed=2026-08-04T16:49:19.948990Z digest=sha256:c31e7ad283ea84aee9b0cbcb7d48424696e33d32529fbcce731bf5b140172b67

Observation 045c0e29-ff8f-4e19-838f-7ad2299bd6a6 · outbound

This paper cites Position is power: System prompts as a mechanism of bias in large language models (llms).

Secure human oversight of AI: Threat modeling in a socio-technical context Position is power: System prompts as a mechanism of bias in large language models (llms)

Reference 83

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source=pdf_text observed=2026-08-04T16:49:19.952873Z digest=sha256:9e1b25e5846279ebad9831f00b0b1252c58085387e6c267e119f05b379acaace

Observation 3547f891-38f9-4130-b7b4-2b3b4cc91845 · outbound

This paper cites Advanced social engineering attacks.

Secure human oversight of AI: Threat modeling in a socio-technical context Advanced social engineering attacks

Reference 84

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source=pdf_text observed=2026-08-04T16:49:19.957122Z digest=sha256:a4da500010ee6117010c486214ab4595ee1b9043cc27ed6fcd3b587ca591a45e

Observation 12db5870-8950-4e1a-8a54-6e40e184a48c · outbound

This paper cites Social engineering - the human factor, 2022.

Secure human oversight of AI: Threat modeling in a socio-technical context Social engineering - the human factor, 2022

Reference 85

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source=pdf_text observed=2026-08-04T16:49:19.962091Z digest=sha256:f9fad3d9b6eb6cdee2698bddfc0d1713ada9aa12fbb574c7abcfa16c6123e926

Observation bf479e9d-99bd-4f22-a475-0ce4b44143fc · outbound

This paper cites Gheyas and Ali E.

Secure human oversight of AI: Threat modeling in a socio-technical context Gheyas and Ali E

Reference 86

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source=pdf_text observed=2026-08-04T16:49:19.966055Z digest=sha256:e83df73e6a5eec219fdcd75cb749ab5dad7afddf5036b3902c2961ca43c2bcd7

Observation c7ad1681-07d5-4427-9b6d-9b7dd5252bce · outbound

This paper cites Distributed denial of service (ddos) resilience in cloud: Review and conceptual cloud ddos mitigation framework.Journal of Network and Computer Applications, 67:147–165, 2016.

Secure human oversight of AI: Threat modeling in a socio-technical context Distributed denial of service (ddos) resilience in cloud: Review and conceptual cloud ddos mitigation framework.Journal of Network and Computer Applications, 67:147–165, 2016

Reference 87

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source=pdf_text observed=2026-08-04T16:49:19.970007Z digest=sha256:a8afeb0a7da42c1816f32547a4f62e2ecea1bc12b84b4e4f7b507af3762a26a3

Observation e95a6689-3a9c-41fa-883c-0b8c55a010d4 · outbound

This paper cites Ddos attack detection and mitigation using sdn: methods, practices, and solutions.Arabian Journal for Science and Engineering, 42(2):425–441, 2017.

Secure human oversight of AI: Threat modeling in a socio-technical context Ddos attack detection and mitigation using sdn: methods, practices, and solutions.Arabian Journal for Science and Engineering, 42(2):425–441, 2017

Reference 88

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source=pdf_text observed=2026-08-04T16:49:19.974071Z digest=sha256:ef9b19011e422c77dc7e6f8e808d05394d9fc90fc86875bb93491555137bc769

Observation 3e2a8718-e707-49ab-a57a-1805f335c343 · outbound

This paper cites Intrusion detection systems, 2001.

Secure human oversight of AI: Threat modeling in a socio-technical context Intrusion detection systems, 2001

Reference 89

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source=pdf_text observed=2026-08-04T16:49:19.978588Z digest=sha256:410da67a8e784ca60d66716d8a1a9a763931ea8de0c8beee0e0759fe5ff4b486

Observation 2c6d2f2f-0cbb-4df3-8863-b7ec59d2a0ab · outbound

This paper cites Cryptool 2.0: Open-source kryptologie für jedermann.Datenschutz und Datensicherheit-DuD, 38(10):701–708, 2014.

Secure human oversight of AI: Threat modeling in a socio-technical context Cryptool 2.0: Open-source kryptologie für jedermann.Datenschutz und Datensicherheit-DuD, 38(10):701–708, 2014

Reference 90

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source=pdf_text observed=2026-08-04T16:49:19.983440Z digest=sha256:10fd7b220e45d2a9d3710cea1e071ef1d2bcaf3ab44fe421de2e134769113e98

Observation 1683ee81-7eb1-41c0-89b4-fc061c93f6a4 · outbound

This paper cites Cryptographic mechanisms: Recommendations and key lengths (bsi tr-02102-1), 2025.

Secure human oversight of AI: Threat modeling in a socio-technical context Cryptographic mechanisms: Recommendations and key lengths (bsi tr-02102-1), 2025

Reference 91

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source=pdf_text observed=2026-08-04T16:49:19.988308Z digest=sha256:10fe94214f8f2650a86ee8d3f0402cf614e8d19f4f497c1166eb29f68838378b

Observation aff9990e-e01c-40e0-8785-12db428e21e8 · outbound

This paper cites Information security, cybersecurity and privacy protection — information security management systems — requirements, 2022.

Secure human oversight of AI: Threat modeling in a socio-technical context Information security, cybersecurity and privacy protection — information security management systems — requirements, 2022

Reference 92

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source=pdf_text observed=2026-08-04T16:49:19.992590Z digest=sha256:c8ce006696f2936a118d82453fee8b6c607a3d13828eaeb3f191358bf2260935

Observation b6e911b3-a592-48d6-a502-88616cca4ac6 · outbound

This paper cites The best form of defence–the benefits of red teaming.Computer Fraud & Security, 2018(10):8–12, 2018.

Secure human oversight of AI: Threat modeling in a socio-technical context The best form of defence–the benefits of red teaming.Computer Fraud & Security, 2018(10):8–12, 2018

Reference 93

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source=pdf_text observed=2026-08-04T16:49:19.996919Z digest=sha256:aca65f241b3ac1d58f93e606403101c4b845297ecee072490163eaa252fb60f9

Observation 7e2bee84-351a-40da-9688-3876fb14f345 · outbound

This paper cites Social engineering defence mechanisms and counteracting training strategies.Information and Computer Security, 25(2):206–222, June 2017.

Secure human oversight of AI: Threat modeling in a socio-technical context Social engineering defence mechanisms and counteracting training strategies.Information and Computer Security, 25(2):206–222, June 2017

Reference 94

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source=pdf_text observed=2026-08-04T16:49:20.005052Z digest=sha256:e82ee89d0674e6b58ac1c4226c16fe4029146c86603673cb37ed52fcd34ff6ce

Observation 59644f9c-1035-48c5-9562-8bb6f8e8c0f6 · outbound

This paper cites Automation bias in the ai act: On the legal implications of attempting to de-bias human oversight of ai.European Journal of Risk Regulation, page 1–16, July 2025.

Secure human oversight of AI: Threat modeling in a socio-technical context Automation bias in the ai act: On the legal implications of attempting to de-bias human oversight of ai.European Journal of Risk Regulation, page 1–16, July 2025

Reference 95

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source=pdf_text observed=2026-08-04T16:49:20.009613Z digest=sha256:51a8a20fa16a1e5400abea24dc240c26abbe334ffb6e92aa53c081abb40ceea4

Observation 2abc3b6b-da99-4ed0-862d-d27a6078d11e · outbound

This paper cites An Approach to Technical AGI Safety and Security.

Secure human oversight of AI: Threat modeling in a socio-technical context An Approach to Technical AGI Safety and Security

Reference 96

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source=pdf_text observed=2026-08-04T16:49:20.014064Z digest=sha256:a32f8c88d0398007761ca4a32a5e7985c719325da1d9e1653a4432d7a62d25ca

Observation 802caf01-7520-40dc-b877-85f992093714 · outbound

This paper cites Anita Taylor, Stephanie E.

Secure human oversight of AI: Threat modeling in a socio-technical context Anita Taylor, Stephanie E

Reference 97

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source=pdf_text observed=2026-08-04T16:49:20.019017Z digest=sha256:aaed360e0a037057f3edbebac29d2566fdb4fd68a9509586616ddc0142bfe92c

Pith citing papers

Observation 428b0f43-78d7-4134-9d8e-27c5fa2ab510 · inbound

When AI Persuades: Adversarial Explanation Attacks on Human Trust in AI-Assisted Decision Making cites this paper.

When AI Persuades: Adversarial Explanation Attacks on Human Trust in AI-Assisted Decision Making Secure human oversight of AI: Threat modeling in a socio-technical context

Reference 22

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arxiv_id, observed 2026-07-31T02:05:37.805253Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T13:21:45.525765Z digest=sha256:bb488d63f1cf4c9a619b08f10da874d9cf79339d2c52b142e7f29637739fa83c

Observation 102f6cee-1a48-4a8e-80fe-17db075d33c2 · inbound

Keeping an Eye on AI: A Framework for Effective Human Oversight of AI Systems cites this paper.

Keeping an Eye on AI: A Framework for Effective Human Oversight of AI Systems Secure human oversight of AI: Threat modeling in a socio-technical context

Reference 39

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arxiv_id, observed 2026-07-31T02:05:37.805253Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-21T09:13:01.572021Z digest=sha256:684f94571d084102cd1da340f6981add459bfb085737a4158b10790dd28daea2