MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference | Paper Citation Record

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This paper cites an unresolved cited work.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Unresolved cited work

Reference 1

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Observation 4fd12bad-875b-4e47-bd8b-70434758e209 · outbound

This paper cites Helayers: A tile tensors framework for large neural networks on encrypted data,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Helayers: A tile tensors framework for large neural networks on encrypted data,

Reference 2

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Observation 1ac6e28b-0bb1-4c0b-81c7-728574aac7a7 · outbound

This paper cites Helayers: A tile tensors framework for large neural networks on encrypted data,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Helayers: A tile tensors framework for large neural networks on encrypted data,

Reference 3

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Observation fba5c7dc-3e34-4ed3-8cb0-368844815ded · outbound

This paper cites Efficient Pruning for Machine Learning Under Homomorphic Encryption.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Efficient Pruning for Machine Learning Under Homomorphic Encryption

Reference 4

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Observation dd1962a7-295b-443f-8513-636e8d50d3fe · outbound

This paper cites Complex encoded tile tensors: Accelerating encrypted analytics,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Complex encoded tile tensors: Accelerating encrypted analytics,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:29.973208Z

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Observation b7d56bde-72bd-4e51-ba9e-d6372a592ac5 · outbound

This paper cites An efficient lattice-based signature scheme with provably secure instantia- tion,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference An efficient lattice-based signature scheme with provably secure instantia- tion,

Reference 6

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Observation aa5a5b30-2a40-4ff1-a9f5-be7ff5203666 · outbound

This paper cites A Guide to Fully Homomorphic Encryption,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference A Guide to Fully Homomorphic Encryption,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:29.889243Z

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Observation 49d59c70-38d2-44a9-9a29-3ef3c769c72f · outbound

This paper cites Towards concise models of grid stability,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Towards concise models of grid stability,

Reference 8

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Observation 0febb358-d363-453c-a65c-b886e32f370e · outbound

This paper cites Foundations of garbled circuits,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Foundations of garbled circuits,

Reference 9

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Observation d134c37c-a190-44d1-b61b-013bb05911fd · outbound

This paper cites What is the state of neural network pruning?.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference What is the state of neural network pruning?

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:29.829153Z

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Observation 137c0667-959a-47d1-a328-20ab713b34a3 · outbound

This paper cites (leveled) fully ho- momorphic encryption without bootstrapping,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference (leveled) fully ho- momorphic encryption without bootstrapping,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T18:28:27.091030Z

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Observation 1ff39cdd-849c-464d-b04a-7474bc1e2f69 · outbound

This paper cites (Leveled) fully homomorphic encryption without bootstrapping,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference (Leveled) fully homomorphic encryption without bootstrapping,

Reference 12

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Observation a00a4712-e1f6-487d-8871-b1efaf86509d · outbound

This paper cites All-or-nothing disclosure of secrets,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference All-or-nothing disclosure of secrets,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:29.783146Z

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Observation 6b4cd06e-d759-4f00-8411-c3c3bd09ec8f · outbound

This paper cites Low latency privacy preserving inference,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Low latency privacy preserving inference,

Reference 14

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Observation 013cead6-f5f8-467f-8d95-9855df282919 · outbound

This paper cites Hunter: He-friendly structured pruning for efficient privacy-preserving deep learning,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Hunter: He-friendly structured pruning for efficient privacy-preserving deep learning,

Reference 15

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Observation 1173f3d4-9288-427d-8911-95f6a7f77121 · outbound

This paper cites A full RNS variant of approximate homomorphic encryption,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference A full RNS variant of approximate homomorphic encryption,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:29.695729Z

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Observation 6a7afaeb-e6c0-4933-ad4a-97cf143f0f79 · outbound

This paper cites Homomorphic encryption for arithmetic of approximate numbers,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Homomorphic encryption for arithmetic of approximate numbers,

Reference 17

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Observation 9ddbda0e-2d36-4072-92d0-e01dfa732927 · outbound

This paper cites Tfhe: fast fully homomorphic encryption over the torus,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Tfhe: fast fully homomorphic encryption over the torus,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T18:28:27.359166Z

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Observation 18131642-4565-4a2a-986a-1bf5e45bd399 · outbound

This paper cites Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T18:28:27.364256Z

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Observation 21755a88-77cf-48c2-8c41-c1571f2a4b92 · outbound

This paper cites Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:29.543708Z

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Observation 9acb249b-e2c0-48f6-b2d0-d66e7fe2e739 · outbound

This paper cites Somewhat Practical Fully Homomorphic Encryption.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Somewhat Practical Fully Homomorphic Encryption

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:29.500836Z

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Observation 06cc70f5-482e-487c-9ab4-db0df4ef5b8a · outbound

This paper cites The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Reference 22

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Observation ed3063ac-1b30-4471-90f5-d2e08812e232 · outbound

This paper cites Fully homomorphic encryption using ideal lattices,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Fully homomorphic encryption using ideal lattices,

Reference 23

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Observation fcbc9d4b-b228-4812-b46e-a503f5a77c7e · outbound

This paper cites Cryptonas: Private inference on a relu budget,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Cryptonas: Private inference on a relu budget,

Reference 24

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Observation 633a846f-38cc-4689-988c-8d5b496d21a9 · outbound

This paper cites Dynamic network surgery for efficient dnns,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Dynamic network surgery for efficient dnns,

Reference 25

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Observation 5ae5c4e0-5011-4239-94e9-ddb056eb34fc · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 26

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This paper cites Learning both weights and con- nections for efficient neural network,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Learning both weights and con- nections for efficient neural network,

Reference 27

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Observation 634daac1-07b2-41b6-9015-0387315bf6d7 · outbound

This paper cites CryptoDL: Deep Neural Networks over Encrypted Data.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference CryptoDL: Deep Neural Networks over Encrypted Data

Reference 28

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This paper cites Cheetah: Lean and fast secure Two-Party deep neural network inference,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Cheetah: Lean and fast secure Two-Party deep neural network inference,

Reference 29

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Observation 9823e39c-cde3-447b-b571-b50e8502c26c · outbound

This paper cites Quantization and training of neural networks for efficient integer-arithmetic-only inference,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Quantization and training of neural networks for efficient integer-arithmetic-only inference,

Reference 30

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Observation 0c3c6b61-efc9-4293-8747-975a57f8a8e7 · outbound

This paper cites A programmable approach to neural network compression,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference A programmable approach to neural network compression,

Reference 31

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This paper cites {GAZELLE}: A low latency framework for secure neural network inference,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference {GAZELLE}: A low latency framework for secure neural network inference,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:29.408262Z

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Observation 35d418b8-e831-4a76-a05c-1c553c817e21 · outbound

This paper cites Learning multiple layers of features from tiny images,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Learning multiple layers of features from tiny images,

Reference 33

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Observation 75dbbd06-096c-4afd-a890-7b81dd2fe0ad · outbound

This paper cites Gradient-based learning applied to document recognition,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Gradient-based learning applied to document recognition,

Reference 34

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Observation 85c6e6ec-0084-4bf5-adfe-3868210ca3cf · outbound

This paper cites Mnist handwritten digit database,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Mnist handwritten digit database,

Reference 35

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Observation 209909fe-52aa-494e-873f-8220df9f94ac · outbound

This paper cites Privacy-preserving machine learning with fully homomorphic encryption for deep neural network,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Privacy-preserving machine learning with fully homomorphic encryption for deep neural network,

Reference 36

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This paper cites Muse: Secure inference resilient to malicious clients.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Muse: Secure inference resilient to malicious clients

Reference 37

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Observation 542cb381-53ec-42c7-96e2-99b856c31ecf · outbound

This paper cites Learning efficient convolutional networks through network slimming,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Learning efficient convolutional networks through network slimming,

Reference 38

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Observation ed11fab9-d650-49d4-adf0-e0bddb1be49e · outbound

This paper cites Hemet: a homomorphic-encryption-friendly privacy-preserving mobile neural network architecture,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Hemet: a homomorphic-encryption-friendly privacy-preserving mobile neural network architecture,

Reference 39

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Observation 688ec983-03d0-47ee-84b8-fd3fbc53e038 · outbound

This paper cites Communication-efficient learning of deep networks from de- centralized data,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Communication-efficient learning of deep networks from de- centralized data,

Reference 40

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Observation 163d7fb7-ba53-4414-94a0-6e8360961452 · outbound

This paper cites Explor- ing generalization in deep learning,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Explor- ing generalization in deep learning,

Reference 41

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Observation 47a20278-acaa-4d1a-b8d7-5ad6364f0159 · outbound

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MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Unresolved cited work

Reference 42

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Observation b64efdb9-9754-4fde-824a-50bdf3be908f · outbound

This paper cites Prune low magnitude,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Prune low magnitude,

Reference 43

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Observation 26bca6c1-c2c6-4f0d-8ca6-a17c22198f62 · outbound

This paper cites Mem- ory efficient privacy-preserving machine learning based on homomor- phic encryption,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Mem- ory efficient privacy-preserving machine learning based on homomor- phic encryption,

Reference 44

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Observation 60909b3c-61ba-4cd8-a2d4-778f63703039 · outbound

This paper cites Spencnn: orchestrating encoding and sparsity for fast homomorphically encrypted neural network inference,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Spencnn: orchestrating encoding and sparsity for fast homomorphically encrypted neural network inference,

Reference 45

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Observation 38cb95fd-ddc2-4ddb-94f3-c87b89fc9118 · outbound

This paper cites an unresolved cited work.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Unresolved cited work

Reference 46

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Observation afe8a6ce-a354-4fb5-a12b-d2c88755bdfa · outbound

This paper cites Facenet: A unified embed- ding for face recognition and clustering,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Facenet: A unified embed- ding for face recognition and clustering,

Reference 47

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Observation 20b4c319-6277-4e68-b2b7-1b72a90b92c9 · outbound

This paper cites Microsoft SEAL (release 3.7),.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Microsoft SEAL (release 3.7),

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:28.792464Z

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Observation 57ab310c-4fa7-4eb8-917c-8fcc3fd351f3 · outbound

This paper cites How to share a secret. commun. acm,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference How to share a secret. commun. acm,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:28.777117Z

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Observation b2725571-c0e5-47f2-8edd-a222a408b503 · outbound

This paper cites Fully homomorphic encryption with relatively small key and ciphertext sizes,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Fully homomorphic encryption with relatively small key and ciphertext sizes,

Reference 50

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Observation ee9afc14-12b1-4c69-bd0b-d8f107d590dd · outbound

This paper cites Fully homomorphic SIMD operations,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Fully homomorphic SIMD operations,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:28.742733Z

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Observation 27c99f15-c4cb-4f2c-b58b-5f277d87a9bd · outbound

This paper cites Rafiki: Machine Learning as an Analytics Service System.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Rafiki: Machine Learning as an Analytics Service System

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-11T18:28:28.367677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 84f9112c-d451-41dd-8f1b-72bca5d6afc2 · outbound

This paper cites Chestx- ray8: Hospital-scale chest x-ray database and benchmarks on weakly- supervised classification and localization of common thorax diseases,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Chestx- ray8: Hospital-scale chest x-ray database and benchmarks on weakly- supervised classification and localization of common thorax diseases,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:28.726730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 09e1bf09-606a-4ed6-b9f1-6d5cdc6985c2 · outbound

This paper cites Differential privacy in deep learning: Privacy and beyond,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Differential privacy in deep learning: Privacy and beyond,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:28.709505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation adfff1da-b4e0-48ab-bcca-ef525f0b4a95 · outbound

This paper cites Protocols for secure computations,.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Protocols for secure computations,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:28.694160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5f6bd6c4-70cd-4ed8-ab95-cda9905d0932 · outbound

This paper cites To prune, or not to prune: exploring the efficacy of pruning for model compression.

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference To prune, or not to prune: exploring the efficacy of pruning for model compression

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T18:28:28.265568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers