Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study | Paper Citation Record

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This paper cites Towards utilising autonomous ships: A viable advance in industry 4.0,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Towards utilising autonomous ships: A viable advance in industry 4.0,

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This paper cites Situation awareness in remote control centres for unmanned ships,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Situation awareness in remote control centres for unmanned ships,

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Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Worlds first autonomous ship to launch in 2018,

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Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Costs and benefits of au- tonomous shipping—a literature review,

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Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Autonomous ships: a review, innovative applications and future maritime business models,

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This paper cites Analyzing the eco- nomic benefit of unmanned autonomous ships: An exploratory cost- comparison between an autonomous and a conventional bulk carrier,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Analyzing the eco- nomic benefit of unmanned autonomous ships: An exploratory cost- comparison between an autonomous and a conventional bulk carrier,

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Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study The ocean-going autonomous ship—challenges and threats,

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This paper cites Creating value through autonomous shipping: an ecosystem perspective,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Creating value through autonomous shipping: an ecosystem perspective,

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This paper cites Explaining and Harnessing Adversarial Examples.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Explaining and Harnessing Adversarial Examples

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This paper cites Intriguing properties of neural networks.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Intriguing properties of neural networks

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This paper cites Thinking about the security of AI systems,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Thinking about the security of AI systems,

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This paper cites Introducing our new machine learning security principles,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Introducing our new machine learning security principles,

Reference 12

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This paper cites Why we should have seen that coming: comments on microsoft’s tay.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Why we should have seen that coming: comments on microsoft’s tay

Reference 13

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This paper cites Machine learning security in industry: A quantitative survey,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Machine learning security in industry: A quantitative survey,

Reference 14

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This paper cites Securing con- nected & autonomous vehicles: Challenges posed by adversarial machine learning and the way forward,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Securing con- nected & autonomous vehicles: Challenges posed by adversarial machine learning and the way forward,

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This paper cites Cybersecurity of autonomous vehicles: A systematic literature review of adversarial attacks and defense models,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Cybersecurity of autonomous vehicles: A systematic literature review of adversarial attacks and defense models,

Reference 16

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This paper cites Artificial intelligence failures in autonomous vehicles: Causes, implications, and prevention,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Artificial intelligence failures in autonomous vehicles: Causes, implications, and prevention,

Reference 17

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This paper cites Quan- tifying the econometric loss of a cyber-physical attack on a seaport,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Quan- tifying the econometric loss of a cyber-physical attack on a seaport,

Reference 18

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This paper cites Adversarial AI testcases for maritime autonomous systems,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Adversarial AI testcases for maritime autonomous systems,

Reference 19

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This paper cites A red teaming framework for securing AI in maritime autonomous systems,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study A red teaming framework for securing AI in maritime autonomous systems,

Reference 20

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This paper cites Learning in the presence of malicious errors,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Learning in the presence of malicious errors,

Reference 21

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This paper cites Adversarial classification,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Adversarial classification,

Reference 22

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This paper cites Adversarial learning,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Adversarial learning,

Reference 23

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Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Evasion attacks against machine learning at test time,

Reference 24

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This paper cites Adversarial Machine Learning at Scale.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Adversarial Machine Learning at Scale

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This paper cites The limitations of deep learning in adversarial settings,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study The limitations of deep learning in adversarial settings,

Reference 26

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Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study One pixel attack for fooling deep neural networks,

Reference 27

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Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Towards evaluating the robustness of neural networks,

Reference 28

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This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 29

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Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Deepfool: a simple and accurate method to fool deep neural networks,

Reference 30

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This paper cites Can machine learning be secure?.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Can machine learning be secure?

Reference 31

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Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Support vector machines under adversarial label noise,

Reference 32

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This paper cites BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 33

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Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Attack strength vs. detectability dilemma in adversarial machine learning,

Reference 34

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This paper cites Hacking smart machines with smarter ones: How to extract meaningful data from machine learning classifiers,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Hacking smart machines with smarter ones: How to extract meaningful data from machine learning classifiers,

Reference 35

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This paper cites Membership inference attacks against machine learning models,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Membership inference attacks against machine learning models,

Reference 36

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This paper cites Resolving individuals contributing trace amounts of dna to highly complex mixtures using high-density snp genotyping microarrays,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Resolving individuals contributing trace amounts of dna to highly complex mixtures using high-density snp genotyping microarrays,

Reference 37

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

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Stealing machine learning models via prediction {APIs},

Reference 38

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This paper cites Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 39

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This paper cites A survey on large language model (LLM) security and privacy: The good, the bad, and the ugly,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study A survey on large language model (LLM) security and privacy: The good, the bad, and the ugly,

Reference 40

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This paper cites Breaking down the defenses: A comparative survey of attacks on large language models,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Breaking down the defenses: A comparative survey of attacks on large language models,

Reference 41

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This paper cites Understanding robustness of transformers for image classification,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Understanding robustness of transformers for image classification,

Reference 42

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This paper cites Reveal of Vision Transformers Robustness against Adversarial Attacks.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Reveal of Vision Transformers Robustness against Adversarial Attacks

Reference 43

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This paper cites Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?

Reference 44

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This paper cites Towards transferable adversarial attacks on vision transformers,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Towards transferable adversarial attacks on vision transformers,

Reference 45

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Observation 45dd8eb4-e773-4b3d-bac0-59d628aa947f · outbound

This paper cites Towards transferable adversarial attacks on image and video transformers,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Towards transferable adversarial attacks on image and video transformers,

Reference 46

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Observation bb8c9c13-1d5c-41cc-ac5f-bf012805bd1d · outbound

This paper cites SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers

Reference 47

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This paper cites DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms in Vision Transformers.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms in Vision Transformers

Reference 48

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Observation 9846d78a-1a6d-4f02-a300-6101f10ae20c · outbound

This paper cites Literature review of maritime cyber security: The first decade,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Literature review of maritime cyber security: The first decade,

Reference 49

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Observation a141eaa1-45d3-4d84-a48d-6861d56e9aa2 · outbound

This paper cites Artificial intelligence for au- tonomous ship: Potential cyber threats and security,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Artificial intelligence for au- tonomous ship: Potential cyber threats and security,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:10.667333Z

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Observation d6569bea-c4cd-43c2-8186-893befad298a · outbound

This paper cites Vulnerability of clean-label poisoning attack for object detection in maritime autonomous surface ships,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Vulnerability of clean-label poisoning attack for object detection in maritime autonomous surface ships,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:10.379951Z

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Observation 343f31ea-2313-4109-88ea-54a9b0d8bbc3 · outbound

This paper cites Adver- sarial waypoint injection attacks on maritime autonomous surface ships (MASS) collision avoidance systems,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Adver- sarial waypoint injection attacks on maritime autonomous surface ships (MASS) collision avoidance systems,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:10.137305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f869b3d5-eaec-4015-a700-a1ee401d4a4d · outbound

This paper cites Autonomous cyber defense agents for nato: Threat analysis, design, and experimentation,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Autonomous cyber defense agents for nato: Threat analysis, design, and experimentation,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:09.925001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 811b5e7c-46e9-405e-a7da-94ced700db10 · outbound

This paper cites Advancing radar cybersecurity: Defending against adversarial attacks in SAR ship recognition using explainable AI and ensemble learning,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Advancing radar cybersecurity: Defending against adversarial attacks in SAR ship recognition using explainable AI and ensemble learning,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:09.714095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 77f5ef7f-5a71-4a6b-85c6-1f9864803140 · outbound

This paper cites A practical deceptive jamming method based on vulnerable location awareness adversarial attack for radar HRRP target recognition,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study A practical deceptive jamming method based on vulnerable location awareness adversarial attack for radar HRRP target recognition,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:09.543079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8eba57a3-d296-4e1e-a7b9-ee9ad841793e · outbound

This paper cites Adversarial camouflage for naval vessels,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Adversarial camouflage for naval vessels,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:09.391798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6075c688-f6d3-436d-b19d-1d78a160886f · outbound

This paper cites Robustness of adversarial camouflage (ac) for naval vessels,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Robustness of adversarial camouflage (ac) for naval vessels,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:09.223592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6bf864a9-d6dd-42b7-a897-30a7620d173d · outbound

This paper cites Shipcamou: adversarial camouflage against optical remote sensing image ship detector,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Shipcamou: adversarial camouflage against optical remote sensing image ship detector,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:09.061982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e1fc0f4a-e0df-4a9d-8674-79e963745ccb · outbound

This paper cites Cyber risk assessment of cyber-enabled autonomous cargo vessel,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Cyber risk assessment of cyber-enabled autonomous cargo vessel,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:08.914473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e4adc911-1b26-4f63-9647-a587b22ed691 · outbound

This paper cites Verifai: Framework for functional verification of AI based systems in the mar- itime domain,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Verifai: Framework for functional verification of AI based systems in the mar- itime domain,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:08.741199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1df9cca9-b688-420c-abb1-d0cf4703ca5f · outbound

This paper cites Formulating cybersecurity requirements for au- tonomous ships using the square methodology,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Formulating cybersecurity requirements for au- tonomous ships using the square methodology,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:08.668417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ddb39e1a-ff84-4612-841d-cdcf02b7278b · outbound

This paper cites Artificial intelligence and data fusion at the edge,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Artificial intelligence and data fusion at the edge,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:08.388168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2fac9681-65f0-41c1-90c2-f05f728296fe · outbound

This paper cites An introduction to multisensor data fusion,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study An introduction to multisensor data fusion,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:08.234867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 95d2705b-ca62-43a0-a1b3-e45fe5f084cb · outbound

This paper cites Bayesian data fusion of multiview synthetic aperture sonar imagery for seabed classification,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Bayesian data fusion of multiview synthetic aperture sonar imagery for seabed classification,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:08.084027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7aa9c4bf-f734-4f0e-b1e2-9428be9fd8fd · outbound

This paper cites Bayesian information fusion and multitarget tracking for maritime situational awareness,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Bayesian information fusion and multitarget tracking for maritime situational awareness,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:07.893030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e9289ecd-f886-4ade-818b-f00c2f175f6d · outbound

This paper cites Asynchronous trajectory matching-based multimodal maritime data fusion for vessel traffic surveillance in inland waterways,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Asynchronous trajectory matching-based multimodal maritime data fusion for vessel traffic surveillance in inland waterways,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:07.686848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 17b2a748-55de-4ed1-bd15-c4ee97f6c164 · outbound

This paper cites Space-based global maritime surveillance. part ii: Artificial intelligence and data fusion techniques,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Space-based global maritime surveillance. part ii: Artificial intelligence and data fusion techniques,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:07.452010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fd5c63ad-23b3-450c-bd75-8faf4319ac73 · outbound

This paper cites A network model for detecting marine floating weak targets based on multimodal data fusion of radar echoes,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study A network model for detecting marine floating weak targets based on multimodal data fusion of radar echoes,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:07.182548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7f0f23bf-fdff-4557-b568-d2e6015001d6 · outbound

This paper cites A fuzzy-logic architecture for autonomous multisensor data fusion,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study A fuzzy-logic architecture for autonomous multisensor data fusion,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:07.038379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dd52c970-cb58-4302-aac4-25e06c77dc12 · outbound

This paper cites Practical moving target detection in maritime environments using fuzzy multi-sensor data fusion,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Practical moving target detection in maritime environments using fuzzy multi-sensor data fusion,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:06.809718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4e58d443-71d0-40a9-be36-29c65432a86c · outbound

This paper cites Multisensor tracking of marine targets: Decentralized fusion of kalman and neural filters,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Multisensor tracking of marine targets: Decentralized fusion of kalman and neural filters,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:06.690003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 96e5c63f-b65a-416f-98cd-a2404b7aebc6 · outbound

This paper cites Image and ais data fusion technique for maritime computer vision applications,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Image and ais data fusion technique for maritime computer vision applications,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:06.469581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9ba9e486-0f5e-42e4-b3b9-a0c8c37ee228 · outbound

This paper cites A CNNGRU-MHA method for ship trajectory prediction based on marine fusion data,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study A CNNGRU-MHA method for ship trajectory prediction based on marine fusion data,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:06.203440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 16014b7f-8372-4e3e-8deb-1319794aefa1 · outbound

This paper cites Ship wake detection using data fusion in multi-sensor remote sensing applications,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Ship wake detection using data fusion in multi-sensor remote sensing applications,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:05.904564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e134f372-db7a-4251-83b9-cd69e7a96675 · outbound

This paper cites Deep-learning approach based on multi-data fusion for damage recognition of marine platforms under complex loads,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Deep-learning approach based on multi-data fusion for damage recognition of marine platforms under complex loads,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:05.685305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c31bd52a-14a6-409f-9fba-876d1c03fdfb · outbound

This paper cites Batman: A brain-like approach for tracking maritime activity and nuance,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Batman: A brain-like approach for tracking maritime activity and nuance,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:05.444417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation abdabc06-6e02-4dd8-9297-fe0dda02c7c8 · outbound

This paper cites Remote and autonomous ships,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Remote and autonomous ships,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:05.251831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 67aa8dcb-43f7-4d1c-8e84-d50fdd379951 · outbound

This paper cites Bon voyage for the autonomous ship mayflower,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Bon voyage for the autonomous ship mayflower,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:05.106396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 162302fe-605e-4681-b7b0-7965d38aed50 · outbound

This paper cites Design and assessment of a low-cost autonomous control system to mitigate effects of communication dropouts in uncrewed surface vessels,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Design and assessment of a low-cost autonomous control system to mitigate effects of communication dropouts in uncrewed surface vessels,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:04.985436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1e4960b4-fbf8-4e32-a3cf-588068138760 · outbound

This paper cites Sensors and AI techniques for situational awareness in au- tonomous ships: A review,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Sensors and AI techniques for situational awareness in au- tonomous ships: A review,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:04.886764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 806452aa-cac7-468c-aa51-bb5d55a824d4 · outbound

This paper cites A study of the effect of JPG compression on adversarial images.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study A study of the effect of JPG compression on adversarial images

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:02.354014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a3ca3d9-9a85-4c01-9f4b-0d9fba0a9107 · outbound

This paper cites YOLO by Ultralytics,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study YOLO by Ultralytics,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:04.757226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7861661c-0edc-4586-a92d-f501ab4b600c · outbound

This paper cites End-to-end object detection with transformers,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study End-to-end object detection with transformers,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:02.498133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ed2198a-715b-481f-a168-e672c38a2b94 · outbound

This paper cites Future of maritime autonomy: cybersecurity, trust and mariner’s situational awareness,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Future of maritime autonomy: cybersecurity, trust and mariner’s situational awareness,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:04.650217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6143c645-6e2c-4815-864b-df8185a63456 · outbound

This paper cites An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: solving problems with box constraints,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: solving problems with box constraints,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:04.536608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bc2367f0-bad4-4154-8619-735ff71a746b · outbound

This paper cites Evolutionary art attack for black-box adversarial example generation,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Evolutionary art attack for black-box adversarial example generation,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:04.336982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 045e4797-a95a-4c2e-816d-a8552fa21689 · outbound

This paper cites Jpeg-resistant adversarial images,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Jpeg-resistant adversarial images,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:04.195194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation de0290fc-65a0-4d44-b787-06b6272b7bfd · outbound

This paper cites AIS spoofing: A tutorial for researchers,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study AIS spoofing: A tutorial for researchers,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:04.045505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 44ff6ec5-5c75-4aa5-bc72-c02184222131 · outbound

This paper cites Cyber-risk assessment for autonomous ships,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Cyber-risk assessment for autonomous ships,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:03.940936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7167d89a-bc28-4d7e-b4b8-a5b94a0eea15 · outbound

This paper cites Slowformer: Adversarial attack on compute and energy consumption of efficient vision transformers,.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Slowformer: Adversarial attack on compute and energy consumption of efficient vision transformers,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:33:03.813481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fe20c679-8484-4d28-94ac-a3a44d9c2688 · outbound

This paper cites Available: https://www.ncsc.gov.uk/blog-post/ thinking-about-security-ai-systems.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Available: https://www.ncsc.gov.uk/blog-post/ thinking-about-security-ai-systems

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T13:32:55.765248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Reference resolution

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