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31 lines
1.0 KiB
TeX
31 lines
1.0 KiB
TeX
\section*{Acknowledgments}
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We thank the Lux Network community, Hanzo AI team, and Zoo ecosystem contributors for feedback and testing. Special thanks to Intel, AMD, NVIDIA, and ARM for technical documentation on their TEE implementations.
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\bibliographystyle{plain}
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\begin{thebibliography}{99}
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\bibitem{sgx}
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V. Costan and S. Devadas, ``Intel SGX Explained,'' \textit{Cryptology ePrint Archive}, Report 2016/086, 2016.
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\bibitem{sev}
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D. Kaplan, J. Powell, and T. Woller, ``AMD Memory Encryption,'' \textit{AMD White Paper}, 2016.
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\bibitem{h100cc}
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NVIDIA, ``H100 Tensor Core GPU Confidential Computing,'' \textit{Technical Brief}, 2023.
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\bibitem{armcca}
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ARM, ``Arm Confidential Compute Architecture,'' \textit{Architecture Reference Manual}, 2021.
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\bibitem{avalanche}
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Team Rocket et al., ``Avalanche: A Novel Metastable Consensus Protocol,'' 2020.
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\bibitem{dilithium}
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L. Ducas et al., ``ML-DSA (FIPS 204, formerly CRYSTALS-Dilithium): Algorithm Specifications and Supporting Documentation,'' \textit{NIST PQC Submission}, 2020.
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\end{thebibliography}
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\appendix
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