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Paper Citation Record · LEDGER

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives

As of 13 August 2026, this Paper Citation Record lists 100 of 204 outbound references and 0 inbound Pith citation observations for arXiv:2507.14519.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.14519 v1

Coverage vector

measured 100 of 204 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:58:10.581752Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 204 outbound references displayed

  • verified exact7
  • verified fuzzy0
  • unresolved90
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 59200a18-98ec-4e51-b29c-d08f16e4e63b · outbound

This paper cites Lattigo v6.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Lattigo v6

Reference 1

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Observation e55cf773-b0c3-4d18-b1d3-9cab594e613c · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 2

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Observation fb075a56-211d-4c93-8069-60bb7e2dc24c · outbound

This paper cites HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data

Reference 3

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Observation f4baedba-2d96-4f46-b333-669594570e5b · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 4

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Observation fb736a41-e704-4083-bffb-f7b2dd13a391 · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 5

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Observation 982911f5-4ad5-44ee-accf-296e63b24aff · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 6

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This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 7

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Observation 73357ff0-ac65-49a6-9fba-0f14937b8330 · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 8

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Observation c5ab170f-0d12-4e43-9cbb-3ec695245b5e · outbound

This paper cites 2024.{AutoFHE}: Automated Adaption of{CNNs} for Efficient Evaluation over{FHE}.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives 2024.{AutoFHE}: Automated Adaption of{CNNs} for Efficient Evaluation over{FHE}

Reference 9

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Observation b9a36d5f-5c4b-466e-a776-8be484216972 · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 10

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Observation eb2227df-1800-47f3-b494-c0f0842b1615 · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 11

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Observation 7112c0c6-3f60-4c7e-9f14-584189ddb424 · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 12

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Observation f0440cd0-7638-4906-97d0-281102822433 · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 13

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Observation 007e58ed-e46f-4f43-969f-188c4b3f7f46 · outbound

This paper cites TT-TFHE: a Torus Fully Homomorphic Encryption-Friendly Neural Network Architecture.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives TT-TFHE: a Torus Fully Homomorphic Encryption-Friendly Neural Network Architecture

Reference 14

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Observation 16afd692-4cf6-4f30-b4af-761f0413027d · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 15

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Observation 9c073aaf-e07d-4873-b38c-d98027afc975 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 16

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Observation d994cdda-7fc9-4686-88e7-b3580e6980b8 · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 17

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Observation cb3251e3-ab54-4f4a-8737-f967e5f5fe37 · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 18

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Observation 30c94563-ed6e-432a-8147-7d79714997f9 · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 19

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Observation 2c8c0809-302f-4f47-beaf-b88cc89319d1 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 20

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Observation ec983beb-510b-430d-9277-0ee71aec1353 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

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Observation 916055d4-195f-43aa-bf6f-450a295e5a9f · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

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Observation 7e7db760-c6cb-4821-8413-20b184e44a69 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

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Observation cd770028-f97b-48c1-a61a-ccc006ba1734 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

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Observation 7a81517e-6422-4190-9464-a8239d90d7e3 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

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Observation 40eeea4a-1faf-4f83-ae28-72f72b189ba1 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 29

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Observation 1a1aebff-94f4-47cb-a224-d2a77e2ed755 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning

Reference 30

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This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 31

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 32

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

Reference 33

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption

Reference 34

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Observation 7fe3508d-b6a4-4171-8896-b0dd055f30b8 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 35

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Observation 3569df57-5bf8-4e41-adcc-11d66e849891 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 37

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Observation b3d35211-2bd3-49c4-b9b7-fce7af1fa731 · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 38

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Observation 09c01931-117d-439a-9e83-c1a47687def5 · outbound

This paper cites 2024.{DaCapo}: Automatic Bootstrapping Management for Efficient Fully Homomorphic Encryption.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives 2024.{DaCapo}: Automatic Bootstrapping Management for Efficient Fully Homomorphic Encryption

Reference 39

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Observation f568c706-29ff-49cd-aeca-6526a4ca6a6f · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 40

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Observation 97be8e1b-7792-4ec6-8515-999ce4fd33d0 · outbound

This paper cites Conditionals in Homomorphic Encryption and Machine Learning Applications.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Conditionals in Homomorphic Encryption and Machine Learning Applications

Reference 41

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Observation cf76d7f2-3945-4230-b24f-67cf72fd66ea · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 42

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Observation 2e44d11f-c237-471e-8793-e1e3780604d1 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 43

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Observation da8086ba-f659-470e-a6fc-0534f0505910 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 44

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Observation b1bb7bf6-4c28-42bc-a8de-a928fee6e54d · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 45

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Observation 1512ddaf-ede0-4712-9a40-c79cdc880f3e · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 46

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Observation dd33ab34-9f68-487c-82de-db79fd2cbb00 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 47

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Observation 5752594c-fda8-4bb4-a2a2-b82d29afcdc2 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 48

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Observation 00b4730f-a0b5-4bd4-a0a2-b7e4f6891737 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 49

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Observation ee9b56fb-d298-4f6a-bede-7a8a592413af · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 50

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Observation bbc729bc-4048-49fc-a50b-96b23ff4a933 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 51

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Observation 4f8c405a-ddf5-447d-9077-a920f5e47c49 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 52

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Observation 48f49e36-ccec-44ad-95fd-5152d497cd97 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 53

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source=pdf_text observed=2026-08-06T15:58:08.080205Z digest=sha256:6c27ad00c0ad04262d1e970b24034e384e44da916855d94ae7cdff51b269d7b6

Observation 7f26e801-a83f-488d-be4e-4a186ceed7fa · outbound

This paper cites PriViT: Vision Transformers for Fast Private Inference.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives PriViT: Vision Transformers for Fast Private Inference

Reference 54

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Observation 913ca8ad-d350-44bc-a22f-3c08c92fe57b · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 55

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Observation 17a4bce1-334f-4a83-8a8b-20e951def63c · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 56

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Observation 2062cd87-bd0b-4228-813c-339cd09da8f5 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 57

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Observation a6bb0380-bdce-46e6-8b6d-2d688e2d431a · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 58

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Observation afb1131d-2cf2-4ec6-b43d-baa847db2ae9 · outbound

This paper cites Orion: A Fully Homomorphic Encryption Framework for Deep Learning.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Orion: A Fully Homomorphic Encryption Framework for Deep Learning

Reference 59

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source=pdf_text observed=2026-08-06T15:58:08.712073Z digest=sha256:722108ba3312aa6860f4dfd5f1404e04bf79922a642c4973e682860efa382556

Observation 0b85481f-d9ae-49c2-bbac-96ad578d86a3 · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 60

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Observation 958a724c-865e-49eb-8fdb-bd0c05182d80 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 61

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Observation 3be8d10e-a4be-4aa2-8ad8-76e0d0245b8d · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 62

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source=pdf_text observed=2026-08-06T15:58:09.026675Z digest=sha256:8e0f5affd58714c209c7534d33e57fcacf404441e87a71dbeacd0ad5d20ef936

Observation d33abe3b-2939-455e-9834-e72f58c532a6 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 63

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Observation 603b80e6-a8b7-4999-8834-fbac129fcf2d · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

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source=pdf_text observed=2026-08-06T15:58:09.268960Z digest=sha256:742952a6ff56df42eaea2b0d328e509dcbb2e1494f441890418109531e268bb9

Observation 84a5c8ab-89fe-4ef6-b52e-893a77969f9d · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 65

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Observation 0b3eb28f-3bc6-4a81-a109-9537e2ab7bdb · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 66

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source=pdf_text observed=2026-08-06T15:58:09.468438Z digest=sha256:e629204373e716ba8e091231e2fcd12d5dbf09fcee6cd1bab41c97f6dad0365a

Observation 76586cd8-e94e-48ae-8077-2aea5086238f · outbound

This paper cites Efficient ML Models for Practical Secure Inference.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Efficient ML Models for Practical Secure Inference

Reference 67

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source=pdf_text observed=2026-08-06T15:58:09.622624Z digest=sha256:7c17fcb3f9a8e7353a85134bf641f56dc8a74dce6eba40bfb3cf9e88f3ea33fd

Observation 389da1ca-ee78-41ea-9dfc-ca2d9b28651a · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 68

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source=pdf_text observed=2026-08-06T15:58:09.729580Z digest=sha256:402dd7f7462363c74b288bf1ba8ddaeba9205622064217370fd011fa39db5103

Observation 39d6d17a-b965-4f68-9d12-8541454da85b · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 69

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Observation 6ac50022-6384-436b-94b0-850dfa5b3fb3 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 70

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source=pdf_text observed=2026-08-06T15:58:09.801467Z digest=sha256:3a486e39fcef20d24c0e04399f41ff5016ce4296796354f04d570511302e2f9a

Observation 84757336-8d48-48a2-9416-a0536691aa90 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

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source=pdf_text observed=2026-08-06T15:58:09.944678Z digest=sha256:5673b08806058bdada80c78f06065e7af76ee217ea0c7921fde3924ea967cf5a

Observation 815e86f8-dbf6-45d1-a4a0-1a99fb699b13 · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

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source=pdf_text observed=2026-08-06T15:58:09.986369Z digest=sha256:2a4ce02117bcb39233e6f74017f6708a0e678007838572afbc4463d43434186a

Observation e1a2d0e9-a852-4506-9558-4e0b31c183e1 · outbound

This paper cites Securing Neural Networks with Knapsack Optimization.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Securing Neural Networks with Knapsack Optimization

Reference 73

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source=pdf_text observed=2026-08-06T15:58:10.059396Z digest=sha256:4f89698d50a209835ede5e5b59abfac8fcf870c4a4b41dc4a9c263cc14afe572

Observation 9b094a64-d486-43a8-b230-3865aa9b11a5 · outbound

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

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 74

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Observation 6f864562-d61d-4366-a4e3-d6231ccccdeb · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 75

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Observation 6a41b220-672f-4bb7-8f2a-dbd3797216fb · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 76

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source=pdf_text observed=2026-08-06T15:58:10.399675Z digest=sha256:6153101354d0818c5ad3468a337511c0aef841a0a1da6bcc0e7aee6dc3f32224

Observation 9cd3e70a-5359-417b-8b5f-84a718dd2180 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

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source=pdf_text observed=2026-08-06T15:58:10.434501Z digest=sha256:a426681655978b93fdfef8efbc8583f4e8577121adff704614cf2651332ea9f1

Observation 3d858b46-62b4-4d26-b64b-69fe50245d64 · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

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source=pdf_text observed=2026-08-06T15:58:10.511403Z digest=sha256:2f0842ffc042a97d2c9e52d3a302988a0a3ebe0e238908b7519a38638b431a55

Observation 9979e9ef-afb8-4437-9656-68c3580666c8 · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 79

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Observation dab40b76-8806-4c9f-af6e-9ce545c26406 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 80

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Observation fd9a6663-2b05-40ec-ae1f-6d41cf940160 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 81

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source=pdf_text observed=2026-08-06T15:58:10.526373Z digest=sha256:035b3e16a783b0ac897572c90993fdacf309d9f20e9d2b1edb2165c164a87731

Observation 41b558ba-c02b-43a5-97dd-e870616c6d1a · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 82

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source=pdf_text observed=2026-08-06T15:58:10.529197Z digest=sha256:62a2c0fa1f6eebd2921e50ef244fa8ee010116f49b14adb6b770bb7a522e2811

Observation 2085a2e5-1cc5-4705-bf1b-44baa253b9e7 · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 83

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source=pdf_text observed=2026-08-06T15:58:10.532321Z digest=sha256:ad6bfba1d1bba6da4aafe7d61f4d1444de58f81feb3dfc907352ad68b4406f6e

Observation e5c83471-15fb-403d-8b91-91b000b68ea0 · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 84

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source=pdf_text observed=2026-08-06T15:58:10.535133Z digest=sha256:c3b88ab4ca64b5b71177d7d6afed170be021f8ecaa1ade005ddbc6879bfc813f

Observation 7987299b-1e7e-46da-8795-27872614f55d · outbound

This paper cites Towards Reasoning in Large Language Models: A Survey.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Towards Reasoning in Large Language Models: A Survey

Reference 85

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source=pdf_text observed=2026-08-06T15:58:10.538449Z digest=sha256:cef53e35f691f3a253d7cfbee0c4d3d198abb7cb0874be1d91a202c368b56e4f

Observation 7152f08f-3572-4da7-b864-fa9ce6f55140 · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 86

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source=pdf_text observed=2026-08-06T15:58:10.541732Z digest=sha256:195ebc0187dd8366a1e11e941e2dd6142c34fc06f588f8cfdade666b142a35dc

Observation 1f7419a0-901a-4ab7-ba59-e1fcc93458b3 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 87

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source=pdf_text observed=2026-08-06T15:58:10.544344Z digest=sha256:e42eec9e9db1f727b8d3e8bbcb031062f163be2bd66ad04ac39c05e28b6b133a

Observation 1f352cc2-5cd4-43a9-ae43-7c17f89acd9e · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 88

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source=pdf_text observed=2026-08-06T15:58:10.547355Z digest=sha256:c261280ecc71b4cf98799be2586ab354ad03e32166d374bd6badb45ef6b11705

Observation 9a8ea881-2b96-4d25-a29b-363a60b67745 · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 89

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source=pdf_text observed=2026-08-06T15:58:10.550249Z digest=sha256:40f8f472762e70317bf0de14630283a152b60fc824be0f8c7bc27aa500c178b4

Observation 11c99f86-fb2d-42ed-b7c5-4eb167ad8e3b · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 90

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source=pdf_text observed=2026-08-06T15:58:10.553261Z digest=sha256:6045a4e6bba7b29c3d745558c73635ee4d786ac86d5f593387f5a57694d55852

Observation b20b4a33-f619-488f-98db-8a6238727e91 · outbound

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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 91

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source=pdf_text observed=2026-08-06T15:58:10.555913Z digest=sha256:d2557e98764255161e624814b83c78ace05d59c01b426e60bbaa75dab77b6924

Observation 22f8e7f6-44e0-4340-9d82-48d1ba6a0d6a · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 92

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source=pdf_text observed=2026-08-06T15:58:10.558677Z digest=sha256:a5a3aa0f8e78c5c491f7ba72fa439b4b5b800cad302a566318f5c7a79c66c381

Observation fed13c7f-638a-43db-8bc5-4eefcbd2b5f2 · outbound

This paper cites DeepReShape: Redesigning Neural Networks for Efficient Private Inference.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives DeepReShape: Redesigning Neural Networks for Efficient Private Inference

Reference 93

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Observation 11470d6f-d83f-46e6-b27a-0ec96fa928f5 · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 94

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source=pdf_text observed=2026-08-06T15:58:10.564625Z digest=sha256:d8a20ae84cbfeec637539724d6b5c3245cc542e7657639aa0ecd734f1a148fb8

Observation 67170a1d-ea0c-4569-888f-f942633fda3e · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 95

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source=pdf_text observed=2026-08-06T15:58:10.567240Z digest=sha256:0c62ae28ecd450a61927623a6a7e43719fd5dd11c1d1350255c3aead563805d6

Observation bc721db8-1ac4-43e5-bdc1-480e13865817 · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 96

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source=pdf_text observed=2026-08-06T15:58:10.570182Z digest=sha256:27ff9b8fada830ab9ab286997cec31f462864d56fb858f5cecb0d793126e8a04

Observation 47062e98-f4b6-4dd9-9b49-6d612ad60081 · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 97

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source=pdf_text observed=2026-08-06T15:58:10.573126Z digest=sha256:c0ce27cf468296053eb27017889b28aa591f849b8a41281b5c025e40c782eecf

Observation f9512b88-8ec7-4e26-b46f-613c57d74e17 · outbound

This paper cites 2018.{GAZELLE}: A low latency framework for secure neural network inference.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives 2018.{GAZELLE}: A low latency framework for secure neural network inference

Reference 98

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source=pdf_text observed=2026-08-06T15:58:10.575713Z digest=sha256:f6a972823d67f012cbcf2f443518c5ee18f7714051226c95518da38dde35c7df

Observation 03b4c4ea-5a00-4716-adac-a1d8fed87e3c · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 99

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T15:58:10.578438Z digest=sha256:732d5d91f7b9815e737b73bc803774a0ddd420bf43b0ca358f0b8ee4ec609c60

Observation 2534a982-3124-456b-8eff-0775bf6e5e5d · outbound

This paper cites an unresolved cited work.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Unresolved cited work

Reference 100

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source=pdf_text observed=2026-08-06T15:58:10.581752Z digest=sha256:848af03ffc460b168d2996759df7276078c2ac85d2b18da5ef5134c39eb215d7

Pith citing papers

No inbound Pith citation observations are available.