mirror of
https://github.com/hanzoai/papers.git
synced 2026-11-03 02:27:30 +00:00
zeekay
277439999d
Lux Partners Limited is the Isle of Man company and does not appear on a public surface. Lux Industries Inc, a Delaware C corporation, is the one these copyright lines, citations and terms name. Lines binding the name to another legal fact — a domicile, a signed counterparty, a quoted third-party article — are left alone, because renaming those would falsify a record rather than correct one.
93 lines
3.4 KiB
TeX
93 lines
3.4 KiB
TeX
\section{Conclusion}
|
|
|
|
\label{sec:conclusion}
|
|
% ============================================================================
|
|
|
|
Hanzo FHE Inference enables practical confidential AI-as-a-service by combining
|
|
CKKS for neural networks, TFHE for decision trees, and GPU acceleration through
|
|
the Candle runtime. Production deployments demonstrate sub-2-second encrypted
|
|
inference with negligible accuracy loss, making FHE viable for regulated
|
|
industries requiring data privacy guarantees stronger than any hardware-based
|
|
approach. Integration with Hanzo ACI and Lux TFHE provides verifiable encrypted
|
|
computation with on-chain attestation.
|
|
|
|
\label{sec:threshold}
|
|
|
|
% ============================================================================
|
|
% BIBLIOGRAPHY
|
|
% ============================================================================
|
|
\begin{thebibliography}{20}
|
|
|
|
\bibitem{hanzocandle}
|
|
{Hanzo AI Research}.
|
|
\newblock Hanzo Candle: Rust-native {ML} framework for production inference.
|
|
\newblock \emph{Hanzo AI Research}, 2024.
|
|
|
|
\bibitem{hanzoaci}
|
|
{Hanzo AI Research}.
|
|
\newblock Hanzo {ACI}: {AI} Chain Infrastructure for decentralized compute markets.
|
|
\newblock \emph{Hanzo AI Research}, December 2024.
|
|
|
|
\bibitem{hanzojin}
|
|
{Hanzo AI Research}.
|
|
\newblock Jin: Unified multimodal {AI} architecture.
|
|
\newblock \emph{Hanzo AI Research}, 2025.
|
|
|
|
\bibitem{hanzokms}
|
|
{Hanzo AI Research}.
|
|
\newblock Hanzo {KMS}: Secrets management with per-environment rotation and audit trail.
|
|
\newblock \emph{Hanzo AI Research}, September 2021.
|
|
|
|
\bibitem{hanzopq}
|
|
{Hanzo AI Research}.
|
|
\newblock Hanzo post-quantum cryptography: Migration path for {AI} infrastructure.
|
|
\newblock \emph{Hanzo AI Research}, April 2026.
|
|
|
|
\bibitem{luxtfhe}
|
|
{Lux Industries Inc}.
|
|
\newblock Lux {TFHE}: On-chain fully homomorphic encryption.
|
|
\newblock \emph{Lux Network Technical Report}, 2024.
|
|
|
|
\bibitem{ckks2017}
|
|
J.~H.~Cheon, A.~Kim, M.~Kim, and Y.~Song.
|
|
\newblock Homomorphic encryption for arithmetic of approximate numbers.
|
|
\newblock In \emph{Proc.\ ASIACRYPT}, 2017.
|
|
|
|
\bibitem{tfhe2020}
|
|
I.~Chillotti, N.~Gama, M.~Georgieva, and M.~Izabach\`ene.
|
|
\newblock {TFHE}: Fast fully homomorphic encryption over the torus.
|
|
\newblock \emph{J.\ Cryptology}, 33(1):34--91, 2020.
|
|
|
|
\bibitem{fhesurvey2024}
|
|
C.~Mouchet, J.~Bossuat, J.-P.~Bossuat, and J.-P.~Hubaux.
|
|
\newblock A survey of {FHE} for machine learning.
|
|
\newblock \emph{ACM Computing Surveys}, 2024.
|
|
|
|
\bibitem{sgxattacks}
|
|
J.~Van~Bulck, M.~Minkin, O.~Weisse, D.~Genkin, B.~Gras, F.~Piessens, M.~Silberstein, T.~F.~Wenisch, Y.~Yarom, and R.~Strackx.
|
|
\newblock Foreshadow: Extracting the keys to the {Intel SGX} kingdom.
|
|
\newblock In \emph{Proc.\ USENIX Security}, 2018.
|
|
|
|
\bibitem{lweestimator}
|
|
M.~Albrecht, R.~Player, and S.~Scott.
|
|
\newblock On the concrete hardness of {Learning with Errors}.
|
|
\newblock \emph{J.\ Mathematical Cryptology}, 9(3):169--203, 2015.
|
|
|
|
\bibitem{crypten}
|
|
B.~Knott, S.~Venkataraman, A.~Hannun, S.~Sengupta, M.~Ibrahim, and L.~van~der~Maaten.
|
|
\newblock {CrypTen}: Secure multi-party computation meets machine learning.
|
|
\newblock In \emph{Proc.\ NeurIPS}, 2021.
|
|
|
|
\bibitem{tenseal}
|
|
A.~Benaissa, B.~Retiat, B.~Cebere, and A.~E.~Belfedhal.
|
|
\newblock {TenSEAL}: A library for encrypted tensor operations using homomorphic encryption.
|
|
\newblock In \emph{ICLR Workshop on DPML}, 2021.
|
|
|
|
\bibitem{concreteml}
|
|
{Zama}.
|
|
\newblock Concrete {ML}: Privacy-preserving machine learning using {FHE}.
|
|
\newblock \emph{Zama Documentation}, 2023.
|
|
|
|
\end{thebibliography}
|
|
|