Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things | Paper Citation Record

Observation 94e0badd-ab97-44c5-9cb1-6cb7e66ab318 · outbound

This paper cites Internet of Things sensing networks, smart manufacturing big data, and digitized mass production in sus- tainable Industry 4.0.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Internet of Things sensing networks, smart manufacturing big data, and digitized mass production in sus- tainable Industry 4.0

Reference 1

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Observation b9e5d418-00c0-4928-8f60-4b2cd78d2af7 · outbound

This paper cites Distributed machine learning for wireless communication networks: Techniques, architectures, and applications,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Distributed machine learning for wireless communication networks: Techniques, architectures, and applications,

Reference 2

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This paper cites An artificial intelligence- based collaboration approach in industrial iot manufacturing: Key concepts, architectural extensions and potential applications,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things An artificial intelligence- based collaboration approach in industrial iot manufacturing: Key concepts, architectural extensions and potential applications,

Reference 3

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Observation 9eff95ed-9ff1-4c39-b769-d25301cf6bcd · outbound

This paper cites Blockchain with IoT and AI: A review of agriculture and healthcare,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Blockchain with IoT and AI: A review of agriculture and healthcare,

Reference 4

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This paper cites Drive Safe: Cognitive-Behavioral Mining for Intelligent Transportation Cyber-Physical System.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Drive Safe: Cognitive-Behavioral Mining for Intelligent Transportation Cyber-Physical System

Reference 5

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Observation 3f79dc3a-a228-4a95-873f-9bee85264ac7 · outbound

This paper cites Intelligent decision support system for home automation–ANFIS based approach,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Intelligent decision support system for home automation–ANFIS based approach,

Reference 6

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Observation 67d93919-0a59-42d9-8ddc-a430d4f2f4d5 · outbound

This paper cites Industry white papers of industry IoT consortium.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Industry white papers of industry IoT consortium

Reference 7

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Observation d078d79a-c715-41be-8ad4-856d6302a4e5 · outbound

This paper cites Accelerating railway digitalization - the startup sector’s perspective.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Accelerating railway digitalization - the startup sector’s perspective

Reference 8

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Observation 5e6e5f3c-0c3d-4c8c-a85f-604cfeb71e63 · outbound

This paper cites LG’s new smart home hub has a built-in voice assistant.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things LG’s new smart home hub has a built-in voice assistant

Reference 9

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Observation 8f49c64e-36e8-4df2-ba16-27695cde05d3 · outbound

This paper cites A Survey on Foundation-Model-Based Industrial Defect Detection.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things A Survey on Foundation-Model-Based Industrial Defect Detection

Reference 10

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Observation 13148c98-1664-4e5c-a0ed-becf5e21ad1e · outbound

This paper cites Language models are few-shot learners,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Language models are few-shot learners,

Reference 11

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Observation c925fab1-1078-4bf3-84d3-d96062c483e8 · outbound

This paper cites BERT: pre-training of deep bidirectional transformers for language understanding,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things BERT: pre-training of deep bidirectional transformers for language understanding,

Reference 12

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Observation a0603fa1-6dcd-4ea2-b707-5cb11862e517 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 13

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Observation f8491191-7cb5-471c-8c54-7400de42becf · outbound

This paper cites DeepSeek-V3 Technical Report.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things DeepSeek-V3 Technical Report

Reference 14

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Observation 520a05a4-7e64-4fe3-8b77-a38e04551f87 · outbound

This paper cites A survey on large language models for communication, network, and service management: Application insights, challenges, and future directions,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things A survey on large language models for communication, network, and service management: Application insights, challenges, and future directions,

Reference 15

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Observation 7ee4c58a-da79-4bd7-b685-21738a278215 · outbound

This paper cites Membership Inference Attacks against Language Models via Neighbourhood Comparison.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Membership Inference Attacks against Language Models via Neighbourhood Comparison

Reference 16

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Observation 2520f757-bd93-4c25-b567-fc8f122ce4ea · outbound

This paper cites Backdoor Threats from Compromised Foundation Models to Federated Learning.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Backdoor Threats from Compromised Foundation Models to Federated Learning

Reference 17

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Observation e0c1be88-c442-47d7-a53f-5fa822d7fe47 · outbound

This paper cites Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models

Reference 18

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Observation aca29186-234a-427e-a4c5-0063aa0733c9 · outbound

This paper cites Applying zero trust security principles to defence mechanisms against data exfiltration attacks,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Applying zero trust security principles to defence mechanisms against data exfiltration attacks,

Reference 19

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Observation 65407fb7-baed-4e48-a3d3-65a781ddac82 · outbound

This paper cites Anatomy of threats to the Internet of Things,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Anatomy of threats to the Internet of Things,

Reference 20

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Observation f3f21a9c-8574-4ed0-8056-6b74004f5dbe · outbound

This paper cites Build security into your network’s dna: The zero trust network architecture,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Build security into your network’s dna: The zero trust network architecture,

Reference 21

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Observation 7b74f57b-731b-4e75-9a18-4673136496f0 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things On the Opportunities and Risks of Foundation Models

Reference 22

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Observation 1f463d11-a3ad-4f9a-a446-1b7f6638273d · outbound

This paper cites Survey on foundation models for prognostics and health management in industrial cyber-physical systems,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Survey on foundation models for prognostics and health management in industrial cyber-physical systems,

Reference 23

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Observation 18a9a4e5-b527-4494-8ef0-3fca8d79fa52 · outbound

This paper cites Trustworthy AI: A computational perspective,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Trustworthy AI: A computational perspective,

Reference 24

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Observation 06c7a6df-4700-4c97-9cb6-1f1cda837fcd · outbound

This paper cites Zero trust architecture (ZTA): A comprehensive survey,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Zero trust architecture (ZTA): A comprehensive survey,

Reference 25

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This paper cites Zero trust architecture: A comprehensive review of prin- ciples, implementation strategies, and future directions in enterprise cybersecurity,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Zero trust architecture: A comprehensive review of prin- ciples, implementation strategies, and future directions in enterprise cybersecurity,

Reference 26

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This paper cites Edge machine learning for AI- enabled IoT devices: A review,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Edge machine learning for AI- enabled IoT devices: A review,

Reference 27

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This paper cites Design and implemen- tation of a contextual-based continuous authentication framework for smart homes,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Design and implemen- tation of a contextual-based continuous authentication framework for smart homes,

Reference 28

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This paper cites Design of cloud-edge-gateway collab- orative zero-trust architecture and workflow for smart factories,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Design of cloud-edge-gateway collab- orative zero-trust architecture and workflow for smart factories,

Reference 29

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This paper cites A trustworthy IoT-based supply chain traceability system with semantic multi-chain and pre-blockchain data verification,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things A trustworthy IoT-based supply chain traceability system with semantic multi-chain and pre-blockchain data verification,

Reference 30

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Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things The transformative impact of zero-trust architecture on healthcare security,

Reference 31

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This paper cites A blockchain-enabled cold start aggregation scheme for federated reinforcement learning-based task offloading in zero trust leo satellite networks,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things A blockchain-enabled cold start aggregation scheme for federated reinforcement learning-based task offloading in zero trust leo satellite networks,

Reference 32

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Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Toward zero-trust security for the metaverse,

Reference 33

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Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things OFDMA-F²L: Federated learning with flexible aggregation over an OFDMA air interface,

Reference 34

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Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things A federated learning-based zero trust intrusion detection system for Internet of Things,

Reference 35

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Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Amplitude- varying perturbation for balancing privacy and utility in federated learning,

Reference 36

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Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Personalized federated learning with differential privacy and convergence guarantee,

Reference 37

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Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Privacy and robustness in federated learning: Attacks and defenses,

Reference 38

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Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things A taxonomy of attacks on federated learning,

Reference 39

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This paper cites Huang, Y.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Huang, Y

Reference 40

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This paper cites Emerging technologies driving zero trust maturity across industries,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Emerging technologies driving zero trust maturity across industries,

Reference 41

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Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Zero Trust Implementation in the Emerging Technologies Era: Survey

Reference 42

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This paper cites Security and privacy on 6g network edge: A survey,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Security and privacy on 6g network edge: A survey,

Reference 43

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Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Distributed foundation models for multi-modal learning in 6G wireless networks,

Reference 44

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Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things netFound: Principled Design for Network Foundation Models

Reference 45

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This paper cites Leveraging Foundation Models for Zero-Shot IoT Sensing.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Leveraging Foundation Models for Zero-Shot IoT Sensing

Reference 46

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This paper cites Foundation models for CPS-IoT: Opportunities and challenges,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Foundation models for CPS-IoT: Opportunities and challenges,

Reference 47

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This paper cites Foundation Models Secretly Understand Neural Network Weights: Enhancing Hypernetwork Architectures with Foundation Models.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Foundation Models Secretly Understand Neural Network Weights: Enhancing Hypernetwork Architectures with Foundation Models

Reference 48

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Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Decentralized training of foundation models in heterogeneous environments,

Reference 49

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This paper cites Large multi-modal models (lmms) as universal foundation models for AI-native wireless systems,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Large multi-modal models (lmms) as universal foundation models for AI-native wireless systems,

Reference 50

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This paper cites Training and serving system of foundation models: A comprehensive survey,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Training and serving system of foundation models: A comprehensive survey,

Reference 51

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This paper cites Membership inference attacks on machine learning: A survey,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Membership inference attacks on machine learning: A survey,

Reference 52

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This paper cites Preserving the privacy of latent information for graph-structured data,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Preserving the privacy of latent information for graph-structured data,

Reference 53

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Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Cardinality counting in “Alcatraz

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This paper cites Adversarial attacks and defenses in machine learning- empowered communication systems and networks: A contemporary survey,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Adversarial attacks and defenses in machine learning- empowered communication systems and networks: A contemporary survey,

Reference 55

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Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things A comprehensive survey on poisoning attacks and countermeasures in machine learning,

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Observation 0ccda7c9-71bd-4a3c-b98d-459d6503fc97 · outbound

This paper cites Data and model poisoning backdoor attacks on wireless federated learning, and the defense mechanisms: A comprehensive survey,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Data and model poisoning backdoor attacks on wireless federated learning, and the defense mechanisms: A comprehensive survey,

Reference 57

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Observation d5dc229c-956b-4bc7-8444-63cfb1b7c242 · outbound

This paper cites Data poisoning in sequential and parallel federated learning,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Data poisoning in sequential and parallel federated learning,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:55.888419Z

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Observation b6062375-5f3b-4f7a-8a7e-96f219632bfb · outbound

This paper cites Manipulating machine learning: Poisoning attacks and countermea- sures for regression learning,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Manipulating machine learning: Poisoning attacks and countermea- sures for regression learning,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:55.967814Z

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Unavailable: canonical work link unavailable.

Observation 328a9635-344b-4ce8-a52d-45f47be682d0 · outbound

This paper cites Leverage variational graph representation for model poisoning on federated learning,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Leverage variational graph representation for model poisoning on federated learning,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:56.034519Z

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Observation 65ca06ae-36d6-47e8-be33-5e5506f5bb7d · outbound

This paper cites Data-agnostic model poisoning against federated learning: A graph autoencoder approach,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Data-agnostic model poisoning against federated learning: A graph autoencoder approach,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:56.127111Z

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Observation b776d85c-bf25-4c5f-abdd-4a331b3dcf30 · outbound

This paper cites MPAF: model poisoning attacks to federated learning based on fake clients,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things MPAF: model poisoning attacks to federated learning based on fake clients,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:56.222190Z

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Observation 130b368b-1977-45a2-b5e1-e7e0b85da4cc · outbound

This paper cites Secure aggregation is insecure: Category inference attack on federated learning,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Secure aggregation is insecure: Category inference attack on federated learning,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:56.331186Z

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Observation 36e5039d-bd4f-4b53-bddd-0b621d61de4d · outbound

This paper cites Poisoning- assisted property inference attack against federated learning,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Poisoning- assisted property inference attack against federated learning,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:56.421759Z

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Observation d449bd9b-d5ba-4212-bb43-4d41fe55c4c1 · outbound

This paper cites Label inference attacks against vertical federated learning,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Label inference attacks against vertical federated learning,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:56.461153Z

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Observation afb578fd-31a3-47fd-8e99-b785c4a9745c · outbound

This paper cites {ML-Doctor}: Holistic risk assessment of inference attacks against machine learning models,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things {ML-Doctor}: Holistic risk assessment of inference attacks against machine learning models,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:56.590345Z

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Observation 6b75412a-d7ea-4caf-b26e-fbd8533298e2 · outbound

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

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Membership inference attacks against machine learning models via prediction sensitivity,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:56.701526Z

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Observation f298ddfc-6f1f-4339-8eed-4b3b50799be8 · outbound

This paper cites Enhanced membership inference attacks against machine learning models,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Enhanced membership inference attacks against machine learning models,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:56.777406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c66bf7a-a7db-4dcf-8388-2723bbf3ae8d · outbound

This paper cites Feature inference attack on model predictions in vertical federated learning,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Feature inference attack on model predictions in vertical federated learning,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:56.882568Z

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Unavailable: canonical work link unavailable.

Observation 3d34db17-2d7b-469e-9607-2af70adce93e · outbound

This paper cites Toler- ating adversarial attacks and Byzantine faults in distributed machine learning,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Toler- ating adversarial attacks and Byzantine faults in distributed machine learning,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:56.976956Z

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Unavailable: canonical work link unavailable.

Observation 86c957be-0c95-44cf-bf63-85e5bfc0f15f · outbound

This paper cites Byzantine fault-tolerant state-machine replication from a systems perspective,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Byzantine fault-tolerant state-machine replication from a systems perspective,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:57.076493Z

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Unavailable: canonical work link unavailable.

Observation 1b64a5f7-c84f-4a54-9773-80873bd3718f · outbound

This paper cites Local model poisoning attacks to Byzantine-robust federated learning,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Local model poisoning attacks to Byzantine-robust federated learning,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:57.174355Z

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Unavailable: canonical work link unavailable.

Observation f1d46a9b-78e7-4775-9d93-0ae1c83afdad · outbound

This paper cites Challenges and approaches for mitigating Byzantine attacks in federated learning,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Challenges and approaches for mitigating Byzantine attacks in federated learning,

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:57.245367Z

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Observation ec454aa3-6a1b-4345-926e-9c67d5ddaf6a · outbound

This paper cites Machine learning with adversaries: Byzantine tolerant gradient descent,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Machine learning with adversaries: Byzantine tolerant gradient descent,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:57.326347Z

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Observation d0a0b07c-dec2-4fde-aa76-4cb27c23a32f · outbound

This paper cites Privacy-preserving and Byzantine-robust federated learning,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Privacy-preserving and Byzantine-robust federated learning,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:57.416407Z

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Observation 87104275-3d58-4f6a-8682-c28617852106 · outbound

This paper cites Backdoor attacks and defenses in federated learning: Survey, challenges and future research directions,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Backdoor attacks and defenses in federated learning: Survey, challenges and future research directions,

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:57.502340Z

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Observation 30244fea-82ba-4481-8e85-82bc709c4c34 · outbound

This paper cites Attack of the tails: Yes, you really can backdoor federated learning,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Attack of the tails: Yes, you really can backdoor federated learning,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:57.568683Z

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Observation f9143804-5866-4179-b989-3614c3edea9c · outbound

This paper cites Coordinated backdoor attacks against federated learning with model- dependent triggers,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Coordinated backdoor attacks against federated learning with model- dependent triggers,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:57.622405Z

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Observation 14d809de-dd91-451c-9709-946631c2552b · outbound

This paper cites DeepSight: Mitigating backdoor attacks in federated learning through deep model inspection,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things DeepSight: Mitigating backdoor attacks in federated learning through deep model inspection,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:57.718671Z

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Observation fe583685-ba80-4efa-8532-d71e3196f04c · outbound

This paper cites Hierarchical adversarial attacks against graph-neural-network-based IoT network intrusion detection system,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Hierarchical adversarial attacks against graph-neural-network-based IoT network intrusion detection system,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:57.806038Z

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Observation 9c84af95-a283-448a-8ce4-07a53fcc7889 · outbound

This paper cites Adversarial attack on graph structured data,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Adversarial attack on graph structured data,

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:57.862529Z

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Observation 1cd5b255-b9bc-4877-b2e4-116fbb7f167c · outbound

This paper cites FLCert: Provably secure federated learning against poisoning attacks,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things FLCert: Provably secure federated learning against poisoning attacks,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:57.943582Z

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Observation 110b4955-534a-4e2f-83e6-a87638e53cdc · outbound

This paper cites Exploring repre- sentational similarity analysis to protect federated learning from data poisoning,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Exploring repre- sentational similarity analysis to protect federated learning from data poisoning,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:58.042139Z

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Observation c92fc5da-8f2e-4207-b01a-4f274b69db5d · outbound

This paper cites APFed: Anti-poisoning attacks in privacy-preserving heterogeneous federated learning,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things APFed: Anti-poisoning attacks in privacy-preserving heterogeneous federated learning,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:58.147336Z

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Observation fa045987-32cb-4dc1-9742-9a3cd8efa592 · outbound

This paper cites Detecting poisoning attacks on federated learning using gradient-weighted class activation mapping,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Detecting poisoning attacks on federated learning using gradient-weighted class activation mapping,

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:58.233579Z

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Observation 581a1895-160b-420b-99fc-f55934eb6702 · outbound

This paper cites ShieldFL: Mitigating model poisoning attacks in privacy-preserving federated learning,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things ShieldFL: Mitigating model poisoning attacks in privacy-preserving federated learning,

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:58.318248Z

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Observation f519d67f-8ef8-4160-93ec-6bd0ae10b613 · outbound

This paper cites FLDetector: Defending fed- erated learning against model poisoning attacks via detecting malicious clients,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things FLDetector: Defending fed- erated learning against model poisoning attacks via detecting malicious clients,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:58.416843Z

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Observation c91ba238-aa47-40bb-a169-f8be7f67aca7 · outbound

This paper cites Perception poisoning attacks in federated learning,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Perception poisoning attacks in federated learning,

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:58.517681Z

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Observation 27021ac9-5141-4b3a-8260-d3241d48ef5a · outbound

This paper cites Membership inference attack and defense for wireless signal classifiers with deep learning,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Membership inference attack and defense for wireless signal classifiers with deep learning,

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:58.603887Z

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Observation 059ba417-ee01-48e1-9b51-21319ec15232 · outbound

This paper cites Manipulating the Byzantine: Op- timizing model poisoning attacks and defenses for federated learning,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Manipulating the Byzantine: Op- timizing model poisoning attacks and defenses for federated learning,

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:58.680527Z

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Observation 049cd8c9-2ea1-4e15-87a0-e98891d11c14 · outbound

This paper cites FLAME: taming back- doors in federated learning,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things FLAME: taming back- doors in federated learning,

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:58.760248Z

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Observation 85bdd77b-70bf-4872-8196-85f064ca06cb · outbound

This paper cites CRFL: certifiably robust federated learning against backdoor attacks,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things CRFL: certifiably robust federated learning against backdoor attacks,

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:58.839158Z

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Observation 83d7dfa5-2a7c-4f39-aeec-510f26f073ce · outbound

This paper cites FLTrust: Byzantine-robust federated learning via trust bootstrapping,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things FLTrust: Byzantine-robust federated learning via trust bootstrapping,

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:58.881897Z

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Observation 1b5fe347-8369-4ff6-8ea8-18ee20d08835 · outbound

This paper cites SupRTE: Suppressing backdoor injection in federated learning via robust trust evaluation,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things SupRTE: Suppressing backdoor injection in federated learning via robust trust evaluation,

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:58.951417Z

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Observation c0170bc5-a9da-40b5-a166-54fb818d2de0 · outbound

This paper cites Adv-Bot: Realistic adversarial botnet attacks against net- work intrusion detection systems,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Adv-Bot: Realistic adversarial botnet attacks against net- work intrusion detection systems,

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:58.989379Z

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Observation 9374b444-6967-484f-9392-6d42a5813cac · outbound

This paper cites ARGANIDS: a novel network intrusion detection system based on adversarially reg- ularized graph autoencoder,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things ARGANIDS: a novel network intrusion detection system based on adversarially reg- ularized graph autoencoder,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:21.314640Z

Source-reported events for the cited work

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Observation 3877411c-9098-4119-9722-5efa0f978d10 · outbound

This paper cites Online laboratory access control with zero trust approach: Twingate use case,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Online laboratory access control with zero trust approach: Twingate use case,

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:21.098958Z

Source-reported events for the cited work

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Observation df792fd9-2d34-449d-976d-5f645186ec5e · outbound

This paper cites Verify and trust: A multidimensional survey of zero-trust security in the age of IoT,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Verify and trust: A multidimensional survey of zero-trust security in the age of IoT,

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:20.748398Z

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Observation 90a98ecd-42cc-4035-96aa-392cfee238c2 · outbound

This paper cites Kumar, G.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Kumar, G

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:20.464937Z

Source-reported events for the cited work

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

Observation a7de775f-c20a-43cb-9fa8-886a85b151ea · outbound

This paper cites Trust aware continuous authorization for zero trust in consumer Internet of Things,.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Trust aware continuous authorization for zero trust in consumer Internet of Things,

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:20.195283Z

Source-reported events for the cited work

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

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