SoK: On the Offensive Potential of AI | Paper Citation Record

Observation 4b8e2ac0-c795-4e68-bd1f-dff869c3496f · outbound

This paper cites Girasa, Artificial Intelligence as a Disruptive Technology: Economic Transformation and Government Regulation.

SoK: On the Offensive Potential of AI Girasa, Artificial Intelligence as a Disruptive Technology: Economic Transformation and Government Regulation

Reference 1

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Observation f3e2773f-2c91-4adb-b358-f3e5efbbd5e4 · outbound

This paper cites Artificial intelligence as a disruptive technology—a systematic literature review,.

SoK: On the Offensive Potential of AI Artificial intelligence as a disruptive technology—a systematic literature review,

Reference 2

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Observation 863deef5-cdc7-43e9-9b84-b1e6f9cadfd0 · outbound

This paper cites Artificial intelligence, machine learning and deep learning in advanced robotics, a review,.

SoK: On the Offensive Potential of AI Artificial intelligence, machine learning and deep learning in advanced robotics, a review,

Reference 3

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Observation d36dd8be-9fc0-409d-9778-731a6748443e · outbound

This paper cites Machine learning and ai in business intelligence: Trends and opportunities,.

SoK: On the Offensive Potential of AI Machine learning and ai in business intelligence: Trends and opportunities,

Reference 4

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Observation 43f8781b-ab7f-45eb-ab79-b70cc21d6187 · outbound

This paper cites What factors contribute to the acceptance of artificial intelligence? a systematic review,.

SoK: On the Offensive Potential of AI What factors contribute to the acceptance of artificial intelligence? a systematic review,

Reference 5

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Observation 00fa3193-73cf-4ce9-9ab6-8dbc701b7e74 · outbound

This paper cites The role of machine learning in cybersecurity,.

SoK: On the Offensive Potential of AI The role of machine learning in cybersecurity,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.462000Z

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Observation 1f111df6-badb-4677-aead-3811a7e66a51 · outbound

This paper cites Artificial intelligence and national security,.

SoK: On the Offensive Potential of AI Artificial intelligence and national security,

Reference 7

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Observation d0e24cd0-1232-4502-b801-5bdeff1a3326 · outbound

This paper cites Trusting artificial intel- ligence in cybersecurity is a double-edged sword,.

SoK: On the Offensive Potential of AI Trusting artificial intel- ligence in cybersecurity is a double-edged sword,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.471380Z

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Observation 7da135b7-194b-448e-b7fb-5e2e14da99b5 · outbound

This paper cites Deepcase: Semi-supervised contextual analysis of security events,.

SoK: On the Offensive Potential of AI Deepcase: Semi-supervised contextual analysis of security events,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.475808Z

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Observation 93b5aeee-f030-462a-9476-e6d14df5ef3b · outbound

This paper cites Wild patterns: Ten years after the rise of adversarial machine learning,.

SoK: On the Offensive Potential of AI Wild patterns: Ten years after the rise of adversarial machine learning,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.480025Z

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Observation 22f22d91-6162-4cec-a66b-5262b16dede7 · outbound

This paper cites Sok: Security and privacy in machine learning,.

SoK: On the Offensive Potential of AI Sok: Security and privacy in machine learning,

Reference 11

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Observation 866ef758-0b75-494f-9588-bf27e60e6397 · outbound

This paper cites Towards evaluating the robustness of neural networks,.

SoK: On the Offensive Potential of AI Towards evaluating the robustness of neural networks,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.488455Z

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Observation 76221ecb-9b0f-48ca-b245-17d8c5bd7192 · outbound

This paper cites Deep models under the gan: information leakage from collaborative deep learning,.

SoK: On the Offensive Potential of AI Deep models under the gan: information leakage from collaborative deep learning,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.492397Z

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Observation 4fae6f90-36bb-4526-8d05-a7429d99621e · outbound

This paper cites Stealing machine learning models via prediction APIs,.

SoK: On the Offensive Potential of AI Stealing machine learning models via prediction APIs,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.496472Z

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Observation 702e7525-61ef-4a3e-8b14-2fb4e6bbe321 · outbound

This paper cites Phishing faster: Implementing chatgpt into phishing campaigns,.

SoK: On the Offensive Potential of AI Phishing faster: Implementing chatgpt into phishing campaigns,

Reference 15

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Observation 88d3b7bb-22d7-4c1a-96b9-b2140f6964ed · outbound

This paper cites Devising and detecting phishing emails using large language models,.

SoK: On the Offensive Potential of AI Devising and detecting phishing emails using large language models,

Reference 16

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Observation 7a8da1a0-80b5-4ec7-bf34-c51261d59856 · outbound

This paper cites Ai tools such as chatgpt are generating a mammoth increase in malicious phishing emails,.

SoK: On the Offensive Potential of AI Ai tools such as chatgpt are generating a mammoth increase in malicious phishing emails,

Reference 17

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Observation aed16ad9-1da0-43e2-8776-27c40f8153c7 · outbound

This paper cites The state of phishing,.

SoK: On the Offensive Potential of AI The state of phishing,

Reference 18

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Observation d81dd8d4-60fc-4b46-8088-dac926987d9f · outbound

This paper cites A systematic review of defensive and offensive cybersecurity with machine learning,.

SoK: On the Offensive Potential of AI A systematic review of defensive and offensive cybersecurity with machine learning,

Reference 19

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Observation 65487eda-9306-4dc9-87e6-ceb3035439bd · outbound

This paper cites The Threat of Offensive AI to Organizations,.

SoK: On the Offensive Potential of AI The Threat of Offensive AI to Organizations,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.524820Z

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Observation 2a4bbee5-9049-4d31-a876-551a9acda655 · outbound

This paper cites Long-term Collection (and classification) of works on Offensive AI (website of this paper),.

SoK: On the Offensive Potential of AI Long-term Collection (and classification) of works on Offensive AI (website of this paper),

Reference 21

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Observation 1d6aae60-152a-45e0-b215-54222dec46f7 · outbound

This paper cites You are who you know and how you behave: Attribute inference attacks via users’ social friends and behaviors,.

SoK: On the Offensive Potential of AI You are who you know and how you behave: Attribute inference attacks via users’ social friends and behaviors,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.537432Z

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Observation aaf3c275-2665-44f8-bf50-7a7792d0e4f6 · outbound

This paper cites Predicting personality from twitter,.

SoK: On the Offensive Potential of AI Predicting personality from twitter,

Reference 23

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Observation 11f8428e-67bf-433f-be3a-3a46d16051cc · outbound

This paper cites Generating adversarial malware examples for black-box attacks based on GAN,.

SoK: On the Offensive Potential of AI Generating adversarial malware examples for black-box attacks based on GAN,

Reference 25

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Observation e3f6b98a-4d1e-4cad-8e06-c8bec9db7b29 · outbound

This paper cites Idsgan: Generative adversarial networks for attack generation against intrusion detection,.

SoK: On the Offensive Potential of AI Idsgan: Generative adversarial networks for attack generation against intrusion detection,

Reference 26

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Observation 1c7ad34f-afa2-42aa-8188-fd2f95517054 · outbound

This paper cites Practical evasion of a learning-based clas- sifier: A case study,.

SoK: On the Offensive Potential of AI Practical evasion of a learning-based clas- sifier: A case study,

Reference 27

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Observation 3bffb4a9-48ff-472e-b368-360674376ff4 · outbound

This paper cites Machine learning: Trends, perspec- tives, and prospects,.

SoK: On the Offensive Potential of AI Machine learning: Trends, perspec- tives, and prospects,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.561552Z

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Observation f2b9dd9f-79ff-434b-9e00-40e3c746a0ab · outbound

This paper cites The AI-based cyber threat landscape: A survey,.

SoK: On the Offensive Potential of AI The AI-based cyber threat landscape: A survey,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.564922Z

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Observation 008f83cd-f7c9-45ae-9fe1-97da4a4bbe62 · outbound

This paper cites The emerging threat of ai-driven cyber attacks: A review,.

SoK: On the Offensive Potential of AI The emerging threat of ai-driven cyber attacks: A review,

Reference 30

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Observation 69414bdd-e4a1-49aa-b7e3-0b2dee9da0bb · outbound

This paper cites Guidelines for performing systematic literature reviews in software engineering,.

SoK: On the Offensive Potential of AI Guidelines for performing systematic literature reviews in software engineering,

Reference 31

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Observation 829f271c-66a5-4f75-81fd-edd9c4228e9e · outbound

This paper cites Sok: Taxonomy of attacks on open-source software supply chains,.

SoK: On the Offensive Potential of AI Sok: Taxonomy of attacks on open-source software supply chains,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.575979Z

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Observation 57339741-9dff-4bf5-84f2-ed329348f166 · outbound

This paper cites Simulating SQL injection vulnerability exploitation using Q-learning reinforcement learning agents,.

SoK: On the Offensive Potential of AI Simulating SQL injection vulnerability exploitation using Q-learning reinforcement learning agents,

Reference 33

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Observation d4c3a4f2-766a-4916-8918-d640c4a22959 · outbound

This paper cites Modelling penetration testing with reinforcement learning using capture-the-flag challenges: Trade-offs between model-free learning and a priori knowledge,.

SoK: On the Offensive Potential of AI Modelling penetration testing with reinforcement learning using capture-the-flag challenges: Trade-offs between model-free learning and a priori knowledge,

Reference 34

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Observation 20aa4efc-77b7-4a7f-b6a2-6ee67b02ad07 · outbound

This paper cites Towards pentesting automation using the metasploit framework,.

SoK: On the Offensive Potential of AI Towards pentesting automation using the metasploit framework,

Reference 35

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Observation 67ce3967-a9f6-435e-abb8-343e62c09e0f · outbound

This paper cites SOFIA: An automated security oracle for black-box testing of SQL-injection vulnerabilities,.

SoK: On the Offensive Potential of AI SOFIA: An automated security oracle for black-box testing of SQL-injection vulnerabilities,

Reference 36

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Observation a755e3c4-9cf8-469a-803e-c4d97d20324a · outbound

This paper cites Automated adversary emulation for cyber-physical systems via reinforcement learning,.

SoK: On the Offensive Potential of AI Automated adversary emulation for cyber-physical systems via reinforcement learning,

Reference 37

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Observation 2bfa1c62-4f6c-4647-8c29-bf625edafc40 · outbound

This paper cites Outcomes from health information exchange: systematic review and future research needs,.

SoK: On the Offensive Potential of AI Outcomes from health information exchange: systematic review and future research needs,

Reference 38

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Observation 89d7ea57-2103-4217-826f-99bc13f4d05c · outbound

This paper cites Appmine: Behavioral analytics for web appli- cation vulnerability detection,.

SoK: On the Offensive Potential of AI Appmine: Behavioral analytics for web appli- cation vulnerability detection,

Reference 39

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Observation ed23c5b4-ba68-4d7d-8253-2bd93c4728fe · outbound

This paper cites Spacephish: the evasion-space of adversarial attacks against phishing website detectors using machine learning,.

SoK: On the Offensive Potential of AI Spacephish: the evasion-space of adversarial attacks against phishing website detectors using machine learning,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.608158Z

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Observation ef7937de-2a79-48ee-9cf0-43cba92739f0 · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

SoK: On the Offensive Potential of AI WaveNet: A Generative Model for Raw Audio

Reference 41

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Observation 181e3c92-eb54-4119-9c98-fc8b6528fb7f · outbound

This paper cites A systematic literature review and meta-analysis on artificial intelligence in penetration testing and vulnerability assessment,.

SoK: On the Offensive Potential of AI A systematic literature review and meta-analysis on artificial intelligence in penetration testing and vulnerability assessment,

Reference 42

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Observation 02789857-bf76-4392-bfb5-1d0427517aa6 · outbound

This paper cites Can artificial intelligence power future malware,.

SoK: On the Offensive Potential of AI Can artificial intelligence power future malware,

Reference 43

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Observation aeaba9d9-bf38-471f-84d6-705c22b44b7b · outbound

This paper cites an unresolved cited work.

SoK: On the Offensive Potential of AI Unresolved cited work

Reference 44

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Observation d77e5444-f835-4f91-a84e-b9da97d96490 · outbound

This paper cites an unresolved cited work.

SoK: On the Offensive Potential of AI Unresolved cited work

Reference 45

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Observation a1f51975-78e2-47ca-bda6-8e6cbf6dc617 · outbound

This paper cites an unresolved cited work.

SoK: On the Offensive Potential of AI Unresolved cited work

Reference 46

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Observation d690b8de-a916-4e26-8eb8-4aba8b1f3700 · outbound

This paper cites an unresolved cited work.

SoK: On the Offensive Potential of AI Unresolved cited work

Reference 47

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Observation 7ff8477d-e86a-4b86-b53e-1af45c956f2e · outbound

This paper cites Wilkin, https://www .blackhat.com/us-18/arsenal.html#jacob-wilkin, 2018.

SoK: On the Offensive Potential of AI Wilkin, https://www .blackhat.com/us-18/arsenal.html#jacob-wilkin, 2018

Reference 48

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Observation 47bb5542-8a09-43fa-b2d5-9efc5bb75b23 · outbound

This paper cites Machine learning attacks against the Asirra CAPTCHA,.

SoK: On the Offensive Potential of AI Machine learning attacks against the Asirra CAPTCHA,

Reference 49

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Observation b6726f2b-b2cc-49cb-ba8f-2867de7b464f · outbound

This paper cites Hacking desire: Reverse-engineering what people wan,.

SoK: On the Offensive Potential of AI Hacking desire: Reverse-engineering what people wan,

Reference 50

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Observation 1ddcb610-d25d-43fc-921f-8c043e3af4aa · outbound

This paper cites Sok: Hate, harassment, and the changing landscape of online abuse,.

SoK: On the Offensive Potential of AI Sok: Hate, harassment, and the changing landscape of online abuse,

Reference 51

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Observation 303e10a9-8cb2-44cb-baeb-f7b78705ef9c · outbound

This paper cites Sok: Authentication in augmented and virtual reality,.

SoK: On the Offensive Potential of AI Sok: Authentication in augmented and virtual reality,

Reference 52

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Observation 4cd45f24-bee8-457e-b1b7-549f0a5a4435 · outbound

This paper cites The Menlo report,.

SoK: On the Offensive Potential of AI The Menlo report,

Reference 53

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Observation f5c7cfcc-0c3d-46b6-a1c2-b6ae547009ad · outbound

This paper cites Our repository,.

SoK: On the Offensive Potential of AI Our repository,

Reference 54

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Observation 69204d6f-d2b1-499e-8d34-d6e9c18dd204 · outbound

This paper cites Convenience sampling, random sampling, and snow- 15 ball sampling: How does sampling affect the validity of research?.

SoK: On the Offensive Potential of AI Convenience sampling, random sampling, and snow- 15 ball sampling: How does sampling affect the validity of research?

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.668693Z

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Observation e5088ddb-1bc4-444e-8add-9cdf2b1b8302 · outbound

This paper cites Comparisons of online recruitment strategies for convenience samples: Craigslist, google adwords, facebook, and amazon mechanical turk,.

SoK: On the Offensive Potential of AI Comparisons of online recruitment strategies for convenience samples: Craigslist, google adwords, facebook, and amazon mechanical turk,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.672624Z

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Observation 26d6a41c-4f34-40ba-81d2-d72dc9b4cbf7 · outbound

This paper cites Charmaz, Constructing grounded theory: A practical guide through qualitative analysis.

SoK: On the Offensive Potential of AI Charmaz, Constructing grounded theory: A practical guide through qualitative analysis

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.676520Z

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Observation 1bca3d31-7a26-4a99-bb8b-df3e6f80c97c · outbound

This paper cites “So what if ChatGPT wrote it?.

SoK: On the Offensive Potential of AI “So what if ChatGPT wrote it?

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.680418Z

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Observation e0dd358c-f8a8-49b3-a80f-a913be053c2e · outbound

This paper cites Whatever next? predictive brains, situated agents, and the future of cognitive science,.

SoK: On the Offensive Potential of AI Whatever next? predictive brains, situated agents, and the future of cognitive science,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.684515Z

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Observation 0e61ea79-a577-4e12-bcec-6e347c74e90a · outbound

This paper cites Advances and open problems in federated learning,.

SoK: On the Offensive Potential of AI Advances and open problems in federated learning,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.688508Z

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Observation 6bed4aee-7cc6-4124-8705-d63181565a44 · outbound

This paper cites Interviewing the investigator: Strategies for addressing instrumentation and researcher bias concerns in qualitative research.

SoK: On the Offensive Potential of AI Interviewing the investigator: Strategies for addressing instrumentation and researcher bias concerns in qualitative research

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.692514Z

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Observation 1dd91c83-563d-406f-a142-8e585d1c3b4e · outbound

This paper cites “Real Attackers Don’t Compute Gradients.

SoK: On the Offensive Potential of AI “Real Attackers Don’t Compute Gradients

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.696454Z

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Observation d084addf-24da-40ef-85dd-aa84ce2f1c8d · outbound

This paper cites an unresolved cited work.

SoK: On the Offensive Potential of AI Unresolved cited work

Reference 63

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Observation 796d7cef-166b-457b-ac67-4c9d3c4920f4 · outbound

This paper cites an unresolved cited work.

SoK: On the Offensive Potential of AI Unresolved cited work

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.704397Z

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Observation 7617d521-b57f-4e6b-8d79-f09bbf34ef1a · outbound

This paper cites an unresolved cited work.

SoK: On the Offensive Potential of AI Unresolved cited work

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Observation acc94dc8-11ed-453a-b200-1f45255b2d1e · outbound

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Reference 66

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SoK: On the Offensive Potential of AI Attribute inference attacks in online multiplayer video games: A case study on Dota2,

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SoK: On the Offensive Potential of AI A low-cost approach to crack python captchas using ai-based chosen-plaintext attack,

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SoK: On the Offensive Potential of AI ”Do users fall for real adversarial phishing?

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SoK: On the Offensive Potential of AI My privacy my decision: Control of photo sharing on online social networks,

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SoK: On the Offensive Potential of AI Keyword occurrences and journal specialization,

Reference 71

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Observation c8ae8ee5-2afd-4edf-ae10-2f46bbdb8a0f · outbound

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SoK: On the Offensive Potential of AI “dirclustering

Reference 72

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Observation 146b6bd1-316f-4de5-978f-5d9c938467c7 · outbound

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SoK: On the Offensive Potential of AI Vulnerability exploitation using reinforcement learning,

Reference 73

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SoK: On the Offensive Potential of AI GAIL-PT: An intelligent penetration testing framework with generative adversarial imitation learning,

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SoK: On the Offensive Potential of AI Generative Adversarial Network (GAN)-Based Autonomous Penetration Testing for Web Applications,

Reference 75

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SoK: On the Offensive Potential of AI Generative neural networks as a tool for web applications penetration testing,

Reference 76

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SoK: On the Offensive Potential of AI Hierarchical reinforcement learning for efficient and effective automated penetration testing of large networks,

Reference 77

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SoK: On the Offensive Potential of AI Getting pwn’d by ai: Penetration testing with large language models,

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SoK: On the Offensive Potential of AI When ChatGPT goes rogue: exploring the potential cybersecurity threats of AI-powered conversational chatbots,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.762107Z

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Observation 9060a496-1e6b-4b03-bdd5-03ca3910b6f6 · outbound

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SoK: On the Offensive Potential of AI Working with ai to persuade: Examining a large language model’s ability to generate pro-vaccination messages,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.766615Z

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SoK: On the Offensive Potential of AI New tricks to old codes: can ai chatbots replace static code analysis tools?

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.770899Z

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SoK: On the Offensive Potential of AI An attacker’s dream? exploring the capabilities of chatgpt for developing malware,

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Observation 9b2cf257-7df5-493a-a1c2-6d7d46d5b9ef · outbound

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SoK: On the Offensive Potential of AI An automated approach to web offensive security,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.779291Z

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Observation b4fa882d-0fae-417e-8ecc-fe2413c8aa94 · outbound

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SoK: On the Offensive Potential of AI Combining variational au- toencoders and transformer language models for improved password generation,

Reference 84

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SoK: On the Offensive Potential of AI Discovering exfiltra- tion paths using reinforcement learning with attack graphs,

Reference 85

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Observation d9a46dd8-3b95-4eb1-a974-39e295ecb2d9 · outbound

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SoK: On the Offensive Potential of AI Reinforcing Penetration Testing Using AI,

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.791680Z

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Observation cf50fd59-98fa-4933-851d-6e9da3eb8c7c · outbound

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SoK: On the Offensive Potential of AI Using cyber terrain in re- inforcement learning for penetration testing,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.795643Z

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Observation edb6b0e6-56d3-477a-a618-d7781cfc768f · outbound

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SoK: On the Offensive Potential of AI Penetration testing procedure using machine learning,

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.799995Z

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Observation e148a683-2182-46c7-9c77-17aa72008c74 · outbound

This paper cites My tweets bring all the traits to the yard: Predicting personality and relational traits in online social networks,.

SoK: On the Offensive Potential of AI My tweets bring all the traits to the yard: Predicting personality and relational traits in online social networks,

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.803977Z

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Observation 5da666ea-4373-4d98-875d-8545e8bc78e2 · outbound

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SoK: On the Offensive Potential of AI Link: Black-box detection of cross-site scripting vulnerabilities using reinforcement learning,

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.807952Z

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Observation 2f0fb70e-441c-44ba-b670-253f8e072229 · outbound

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SoK: On the Offensive Potential of AI Deep reinforcement learning for penetra- tion testing of cyber-physical attacks in the smart grid,

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.811868Z

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SoK: On the Offensive Potential of AI Leveraging deep reinforcement learning for automating penetration testing in reconnaissance and exploitation phase,

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.815667Z

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SoK: On the Offensive Potential of AI Passflow: guessing passwords with generative flows,

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.819697Z

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Observation 01f6a7bc-2d2d-4b44-8c72-bc58d97dc343 · outbound

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SoK: On the Offensive Potential of AI Cascaded reinforcement learning agents for large action spaces in autonomous penetration testing,

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.823697Z

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SoK: On the Offensive Potential of AI Intelligent penetration testing in dynamic defense environment,

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.827874Z

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Observation ac11f632-67c0-44c5-bfa9-33d37f87c5cb · outbound

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SoK: On the Offensive Potential of AI Discovering reflected cross-site scripting vulnerabilities using a multiobjective reinforcement learning environment,

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.832427Z

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Observation ddf6ec82-82a7-43ef-9a9c-c169b74c2d3c · outbound

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SoK: On the Offensive Potential of AI Crown jewels analysis using reinforcement learning with at- tack graphs,

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.836629Z

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Observation 6f0e68ce-3c3f-4e2f-a141-167a25b80275 · outbound

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SoK: On the Offensive Potential of AI Offensive AI: Unification of email generation through GPT-2 with a game-theoretic approach for spear-phishing attacks,

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.840757Z

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SoK: On the Offensive Potential of AI Automating privilege escalation with deep reinforcement learning,

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.845028Z

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Observation 12b1e8ec-f5bd-491d-a67b-f4ceeed734ee · outbound

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SoK: On the Offensive Potential of AI Offensive security of keyboard data using machine learning for password authentication in iot,

Reference 100

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Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:13.853232Z

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