% references_part07b.bib — Part VII-b (security half of Part VII: cybersecurity, applied cryptography, blockchain,
% privacy-preserving computation, federated learning, LLM security). Agent H, 2026-11-03. Every entry verified by a single
% Crossref, DataCite or arXiv lookup; see references_verification_part07b.csv. Keys that already exist in references.bib
% (nist2024fips203, nist2024fips204, das2025llmsecurity, greshake2023injection, ...) are reused there and not redefined here.

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@article{zhang2023fedala,
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@article{nguyen2025unlearning,
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@article{hou2026mcp,
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@incollection{castryck2023sidh,
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@techreport{nist2019pqcround1,
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  title = {{Status report on the first round of the NIST post-quantum cryptography standardization process}},
  year = {2019},
  institution = {National Institute of Standards and Technology},
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}

@techreport{nist2022pqcround3,
  author = {Alagic, Gorjan and Apon, Daniel and Cooper, David and Dang, Quynh and Dang, Thinh and Kelsey, John and Lichtinger, Jacob and Liu, Yi-Kai and Miller, Carl and Moody, Dustin and Peralta, Rene and Perlner, Ray and Robinson, Angela and Smith-Tone, Daniel},
  title = {{Status report on the third round of the NIST Post-Quantum Cryptography Standardization process}},
  year = {2022},
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@article{foley2019bitcoin,
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@article{cong2019smartcontracts,
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@techreport{yaga2018blockchain,
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@article{wang2019consensus,
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  year = {2019},
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@incollection{kurakin2018physical,
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  title = {{Adversarial Examples in the Physical World}},
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@article{thapa2022splitfed,
  author = {Thapa, Chandra and Mahawaga Arachchige, Pathum Chamikara and Camtepe, Seyit and Sun, Lichao},
  title = {{SplitFed: When Federated Learning Meets Split Learning}},
  year = {2022},
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@article{du2026vulrag,
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  title = {{vul-rag : Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG}},
  year = {2026},
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@article{ahmed2020tracingapps,
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  title = {{A Survey of COVID-19 Contact Tracing Apps}},
  year = {2020},
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@article{sheller2020flmedicine,
  author = {Sheller, Micah J. and Edwards, Brandon and Reina, G. Anthony and Martin, Jason and Pati, Sarthak and Kotrotsou, Aikaterini and Milchenko, Mikhail and Xu, Weilin and Marcus, Daniel and Colen, Rivka R. and Bakas, Spyridon},
  title = {{Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data}},
  year = {2020},
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@article{chen2020fedhealth,
  author = {Chen, Yiqiang and Qin, Xin and Wang, Jindong and Yu, Chaohui and Gao, Wen},
  title = {{FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare}},
  year = {2020},
  journal = {IEEE Intelligent Systems},
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@article{zhang2024fedtgp,
  author = {Zhang, Jianqing and Liu, Yang and Hua, Yang and Cao, Jian},
  title = {{FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning}},
  year = {2024},
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@article{fu2026dpfl,
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  title = {{Differentially Private Federated Learning: A Systematic Review}},
  year = {2026},
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@article{jimenezgutierrez2026flsecurity,
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@article{davidson2018institutions,
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  title = {{Blockchains for Business Process Management - Challenges and Opportunities}},
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@article{saberi2019supplychain,
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  title = {{Blockchain technology and its relationships to sustainable supply chain management}},
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@article{conti2018bitcoinsecurity,
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  title = {{A Survey on Security and Privacy Issues of Bitcoin}},
  year = {2018},
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@article{fernandez2018biot,
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  title = {{A Review on the Use of Blockchain for the Internet of Things}},
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@article{huynh2023metaverse,
  author = {Huynh-The, Thien and Gadekallu, Thippa Reddy and Wang, Weizheng and Yenduri, Gokul and Ranaweera, Pasika and Pham, Quoc-Viet and da Costa, Daniel Benevides and Liyanage, Madhusanka},
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@article{mohammadi2026dpmedical,
  author = {Mohammadi, Marziyeh and Vejdanihemmat, Mohsen and Lotfinia, Mahshad and Rusu, Mirabela and Truhn, Daniel and Maier, Andreas and Tayebi Arasteh, Soroosh},
  title = {{Differential privacy for medical deep learning: methods, tradeoffs, and deployment implications}},
  year = {2026},
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@article{eden2025flgovernance,
  author = {Eden, Rebekah and Chukwudi, Ignatius and Bain, Chris and Barbieri, Sebastiano and Callaway, Leonie and de Jersey, Susan and George, Yasmeen and Gorse, Alain-Dominique and Lawley, Michael and Marendy, Peter and McPhail, Steven M. and Nguyen, Anthony and Samadbeik, Mahnaz and Sullivan, Clair},
  title = {{A scoping review of the governance of federated learning in healthcare}},
  year = {2025},
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}

@article{zhu2021noniid,
  author = {Zhu, Hangyu and Xu, Jinjin and Liu, Shiqing and Jin, Yaochu},
  title = {{Federated learning on non-IID data: A survey}},
  year = {2021},
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@article{zhang2021flsurvey,
  author = {Zhang, Chen and Xie, Yu and Bai, Hang and Yu, Bin and Li, Weihong and Gao, Yuan},
  title = {{A survey on federated learning}},
  year = {2021},
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@article{xu2021flhealth,
  author = {Xu, Jie and Glicksberg, Benjamin S. and Su, Chang and Walker, Peter and Bian, Jiang and Wang, Fei},
  title = {{Federated Learning for Healthcare Informatics}},
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@inproceedings{yang2024fedas,
  author = {Yang, Xiyuan and Huang, Wenke and Ye, Mang},
  title = {{FedAS: Bridging Inconsistency in Personalized Federated Learning}},
  year = {2024},
  booktitle = {2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
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@article{ali2026huntgpt,
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  title = {{HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs)}},
  year = {2026},
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@inproceedings{bonawitz2017secagg,
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@incollection{beullens2022rainbow,
  author = {Beullens, Ward},
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  year = {2022},
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@article{uddin2026phishing,
  author = {Uddin, Mohammad Amaz and Mahiuddin, Md and Sarker, Iqbal H.},
  title = {{An explainable transformer-based model for phishing email detection: A large language model approach}},
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@article{xu2025cbrfl,
  author = {Xu, Gang and Lei, Lele and Mao, Yanhui and Li, Zongpeng and Chen, Xiu-Bo and Zhang, Kejia},
  title = {{CBRFL: A framework for Committee-based Byzantine-Resilient Federated Learning}},
  year = {2025},
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@techreport{nist2024transition,
  author = {Regenscheid, Andrew},
  title = {{Transition to Post-Quantum Cryptography Standards}},
  year = {2024},
  institution = {National Institute of Standards and Technology},
  doi = {10.6028/NIST.IR.8547.ipd}
}

@techreport{nist2025hqc,
  author = {Alagic, Gorjan and Bros, Maxime and Ciadoux, Pierre and Cooper, David and Dang, Quynh and Dang, Thinh and Kelsey, John and Lichtinger, Jacob and Liu, Yi-Kai and Miller, Carl and Moody, Dustin and Peralta, Rene and Perlner, Ray and Robinson, Angela and Silberg, Hamilton and Smith-Tone, Daniel and Waller, Noah},
  title = {{Status report on the fourth round of the NIST post-quantum cryptography standardization process}},
  year = {2025},
  institution = {National Institute of Standards and Technology (U.S.)},
  doi = {10.6028/NIST.IR.8545}
}

@article{guo2022blockchainsecurity,
  author = {Guo, Huaqun and Yu, Xingjie},
  title = {{A survey on blockchain technology and its security}},
  year = {2022},
  journal = {Blockchain: Research and Applications},
  volume = {3},
  number = {2},
  pages = {100067},
  doi = {10.1016/j.bcra.2022.100067}
}

@article{kim2018provenance,
  author = {Kim, Henry M. and Laskowski, Marek},
  title = {{Toward an ontology-driven blockchain design for supply-chain provenance}},
  year = {2018},
  journal = {Intelligent Systems in Accounting, Finance and Management},
  volume = {25},
  number = {1},
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@article{esposito2018healthcare,
  author = {Esposito, Christian and De Santis, Alfredo and Tortora, Genny and Chang, Henry and Choo, Kim-Kwang Raymond},
  title = {{Blockchain: A Panacea for Healthcare Cloud-Based Data Security and Privacy?}},
  year = {2018},
  journal = {IEEE Cloud Computing},
  volume = {5},
  number = {1},
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  doi = {10.1109/mcc.2018.011791712}
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@misc{li2019qffl,
  author = {Tian Li and Maziar Sanjabi and Ahmad Beirami and Virginia Smith},
  title = {{Fair Resource Allocation in Federated Learning}},
  year = {2019},
  eprint = {1905.10497},
  archivePrefix = {arXiv},
  howpublished = {arXiv preprint arXiv:1905.10497}
}

@misc{li2018fedprox,
  author = {Tian Li and Anit Kumar Sahu and Manzil Zaheer and Maziar Sanjabi and Ameet Talwalkar and Virginia Smith},
  title = {{Federated Optimization in Heterogeneous Networks}},
  year = {2018},
  eprint = {1812.06127},
  archivePrefix = {arXiv},
  howpublished = {arXiv preprint arXiv:1812.06127}
}

@misc{wang2021nft,
  author = {Qin Wang and Rujia Li and Qi Wang and Shiping Chen},
  title = {{Non-Fungible Token (NFT): Overview, Evaluation, Opportunities and Challenges}},
  year = {2021},
  eprint = {2105.07447},
  archivePrefix = {arXiv},
  howpublished = {arXiv preprint arXiv:2105.07447}
}

@misc{cho2020tracing,
  author = {Hyunghoon Cho and Daphne Ippolito and Yun William Yu},
  title = {{Contact Tracing Mobile Apps for COVID-19: Privacy Considerations and Related Trade-offs}},
  year = {2020},
  eprint = {2003.11511},
  archivePrefix = {arXiv},
  howpublished = {arXiv preprint arXiv:2003.11511}
}

@misc{bagdasaryan2018backdoor,
  author = {Eugene Bagdasaryan and Andreas Veit and Yiqing Hua and Deborah Estrin and Vitaly Shmatikov},
  title = {{How To Backdoor Federated Learning}},
  year = {2018},
  eprint = {1807.00459},
  archivePrefix = {arXiv},
  howpublished = {arXiv preprint arXiv:1807.00459}
}

@inproceedings{guesmi2026reentrancy,
  author = {Guesmi, Semia and Piazza, Carla and Gasparetto, Andrea and Rizzo, Matteo and Rossi, Sabina},
  title = {{Detecting Cross-Function Reentrancy from EVM Traces}},
  year = {2026},
  booktitle = {OASIcs, Volume 142, FMBC 2026 (6th International Workshop on Formal Methods for Blockchains)},
  pages = {8:1--8:15},
  publisher = {Schloss Dagstuhl -- Leibniz-Zentrum für Informatik},
  doi = {10.4230/oasics.fmbc.2026.8}
}