Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs | Paper Citation Record

Observation 36516aff-9719-41b5-acfb-0fa2dc868af7 · outbound

This paper cites Autonomous car driving using deep learning,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Autonomous car driving using deep learning,

Reference 1

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This paper cites Machine learning methods for predictive analytics in health care,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Machine learning methods for predictive analytics in health care,

Reference 2

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This paper cites Ai governance in the public sector: Three tales from the frontiers of automated decision-making in demo- cratic settings,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Ai governance in the public sector: Three tales from the frontiers of automated decision-making in demo- cratic settings,

Reference 3

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This paper cites Trustworthy artificial intelligence: a review,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Trustworthy artificial intelligence: a review,

Reference 4

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This paper cites Software verification and validation: an overview,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Software verification and validation: an overview,

Reference 5

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This paper cites Systematic Literature Review of Validation Methods for AI Systems.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Systematic Literature Review of Validation Methods for AI Systems

Reference 6

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This paper cites Availability and reporting quality of external validations of machine-learning prediction models with orthopedic surgical outcomes: a systematic review,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Availability and reporting quality of external validations of machine-learning prediction models with orthopedic surgical outcomes: a systematic review,

Reference 7

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This paper cites Auditing black-box models for indirect influence,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Auditing black-box models for indirect influence,

Reference 8

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This paper cites EU AI Act: First regulation on artificial intelligence,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs EU AI Act: First regulation on artificial intelligence,

Reference 9

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This paper cites The knowledge complexity of interactive proof-systems,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs The knowledge complexity of interactive proof-systems,

Reference 10

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This paper cites Zero-Knowledge Proof-based Verifiable Decentralized Machine Learning in Communication Network: A Comprehensive Survey.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Zero-Knowledge Proof-based Verifiable Decentralized Machine Learning in Communication Network: A Comprehensive Survey

Reference 11

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This paper cites Software engineering for machine learning: A case study ,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Software engineering for machine learning: A case study ,

Reference 12

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This paper cites Trustworthy artificial intelligence,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Trustworthy artificial intelligence,

Reference 13

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This paper cites Trustworthy AI: A Computational Perspective,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Trustworthy AI: A Computational Perspective,

Reference 14

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Observation 45cc792a-a5f5-40e0-b904-9e256965dfc1 · outbound

This paper cites Trustworthy AI: From Principles to Practices,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Trustworthy AI: From Principles to Practices,

Reference 15

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This paper cites Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation,

Reference 16

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Observation d769a66f-4ff7-4d94-bb18-da0e0e898d2a · outbound

This paper cites Black-box access is insufficient for rigorous ai audits,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Black-box access is insufficient for rigorous ai audits,

Reference 17

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This paper cites Goldreich,Foundations of cryptography: volume 2, basic applications.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Goldreich,Foundations of cryptography: volume 2, basic applications

Reference 18

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This paper cites How to prove yourself: Practical solutions to identification and signature problems,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs How to prove yourself: Practical solutions to identification and signature problems,

Reference 19

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This paper cites Random oracles are practical: A paradigm for designing efficient protocols,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Random oracles are practical: A paradigm for designing efficient protocols,

Reference 20

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Observation ad81a715-c0f8-433d-b03b-ac0e0bc1a883 · outbound

This paper cites Non-interactive zero-knowledge and its applications,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Non-interactive zero-knowledge and its applications,

Reference 21

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This paper cites Constant-size commitments to polynomials and their applications,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Constant-size commitments to polynomials and their applications,

Reference 22

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Observation 94f1dad3-f9d1-49a5-9fd9-9b0c28e094ed · outbound

This paper cites Understanding Deep Neural Networks with Rectified Linear Units.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Understanding Deep Neural Networks with Rectified Linear Units

Reference 23

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Observation 9836e101-82ee-4f5d-9253-7fea0dc373a2 · outbound

This paper cites Scaling up Trustless DNN Inference with Zero-Knowledge Proofs.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Scaling up Trustless DNN Inference with Zero-Knowledge Proofs

Reference 24

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Observation 267c2313-630f-4f7d-b31c-13c093ccb2db · outbound

This paper cites A Survey on the Applications of Zero-Knowledge Proofs.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs A Survey on the Applications of Zero-Knowledge Proofs

Reference 25

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This paper cites A Survey of Zero-Knowledge Proof Based Verifiable Machine Learning.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs A Survey of Zero-Knowledge Proof Based Verifiable Machine Learning

Reference 26

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This paper cites A Framework for Cryptographic Verifiability of End-to-End AI Pipelines.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs A Framework for Cryptographic Verifiability of End-to-End AI Pipelines

Reference 27

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Observation 3d65f53e-5488-4a69-9151-7d58d53bd0a6 · outbound

This paper cites Systematic literature reviews in software engineering–a systematic literature review,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Systematic literature reviews in software engineering–a systematic literature review,

Reference 28

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This paper cites Control- theoretical software adaptation: A systematic literature review,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Control- theoretical software adaptation: A systematic literature review,

Reference 29

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This paper cites Crisp-dm: Towards a standard process model for data mining,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Crisp-dm: Towards a standard process model for data mining,

Reference 30

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This paper cites The kdd process for extracting useful knowledge from volumes of data,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs The kdd process for extracting useful knowledge from volumes of data,

Reference 31

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This paper cites Recursive Proof Composition without a Trusted Setup,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Recursive Proof Composition without a Trusted Setup,

Reference 32

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This paper cites PLONK: Permutations over Lagrange-bases for Oecumenical Noninteractive arguments of Knowledge,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs PLONK: Permutations over Lagrange-bases for Oecumenical Noninteractive arguments of Knowledge,

Reference 33

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This paper cites Scalable, transparent, and post-quantum secure computational integrity ,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Scalable, transparent, and post-quantum secure computational integrity ,

Reference 34

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This paper cites Marlin: Preprocessing zkSNARKs with Universal and Updatable SRS,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Marlin: Preprocessing zkSNARKs with Universal and Updatable SRS,

Reference 35

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This paper cites Sonic: Zero-Knowledge SNARKs from Linear-Size Universal and Updatable Structured Reference Strings,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Sonic: Zero-Knowledge SNARKs from Linear-Size Universal and Updatable Structured Reference Strings,

Reference 36

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This paper cites Spartan: Efficient and General-Purpose zkSNARKs Without Trusted Setup,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Spartan: Efficient and General-Purpose zkSNARKs Without Trusted Setup,

Reference 37

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This paper cites Transparent SNARKs from DARK Compilers,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Transparent SNARKs from DARK Compilers,

Reference 38

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This paper cites Aurora: Transparent Succinct Arguments for R1CS,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Aurora: Transparent Succinct Arguments for R1CS,

Reference 39

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This paper cites Fractal: Post-quantum and Transparent Recursive Proofs from Holography ,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Fractal: Post-quantum and Transparent Recursive Proofs from Holography ,

Reference 40

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This paper cites On the Size of Pairing-Based Non-interactive Arguments,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs On the Size of Pairing-Based Non-interactive Arguments,

Reference 41

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This paper cites Bulletproofs: Short Proofs for Confidential Transactions and More,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Bulletproofs: Short Proofs for Confidential Transactions and More,

Reference 42

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This paper cites Ligero: Lightweight Sublinear Arguments Without a Trusted Setup,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Ligero: Lightweight Sublinear Arguments Without a Trusted Setup,

Reference 43

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This paper cites Delegating Computation: Interactive Proofs for Muggles,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Delegating Computation: Interactive Proofs for Muggles,

Reference 44

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This paper cites Wolverine: Fast, Scalable, and Communication-Efficient Zero-Knowledge Proofs for Boolean and Arithmetic Circuits,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Wolverine: Fast, Scalable, and Communication-Efficient Zero-Knowledge Proofs for Boolean and Arithmetic Circuits,

Reference 45

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This paper cites Pinocchio: Nearly practical verifiable computation,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Pinocchio: Nearly practical verifiable computation,

Reference 46

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Observation 85f8ddae-a1d1-420e-b485-859f9427738d · outbound

This paper cites Non-interactive zero- knowledge proof systems,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Non-interactive zero- knowledge proof systems,

Reference 47

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This paper cites Zero-knowledge using garbled circuits: how to prove non-algebraic statements efficiently ,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Zero-knowledge using garbled circuits: how to prove non-algebraic statements efficiently ,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:04:03.451746Z

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Observation c1cf98e1-5389-4749-95d3-e321da42bfb9 · outbound

This paper cites Fiat-shamir: from practice to theory ,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Fiat-shamir: from practice to theory ,

Reference 49

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Observation 89a54619-3f96-40c3-95ae-aa7791639ff0 · outbound

This paper cites Definitions and properties of zero- knowledge proof systems,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Definitions and properties of zero- knowledge proof systems,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:04:03.071480Z

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Observation 3194d2f3-6871-4e30-b95f-d191a0600303 · outbound

This paper cites Do you need a zero knowledge proof?.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Do you need a zero knowledge proof?

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:04:02.869920Z

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Observation f50f7419-43df-4477-8bdc-71ac214a4f60 · outbound

This paper cites Zero- knowledge proof frameworks: A systematic survey ,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Zero- knowledge proof frameworks: A systematic survey ,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:04:02.704877Z

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Observation 85ba1bb1-c39a-4f9f-88f6-3bd533fc028f · outbound

This paper cites Announcing the perpetual powers of tau ceremony to benefit all zk-snark projects,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Announcing the perpetual powers of tau ceremony to benefit all zk-snark projects,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:04:02.515296Z

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Observation 11cb4a38-1644-4661-a219-7c94efaf907a · outbound

This paper cites Arithmetic circuits: A survey of recent results and open questions,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Arithmetic circuits: A survey of recent results and open questions,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:04:02.378363Z

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Observation fbc3de60-03ba-463f-b8f7-e031fc19d3d0 · outbound

This paper cites Approximate arithmetic circuits: A survey , characterization, and recent applications,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Approximate arithmetic circuits: A survey , characterization, and recent applications,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:04:02.194566Z

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Observation dba55fed-a309-46d7-bdb6-20bec9d1cd3e · outbound

This paper cites Study of arithmetization methods for starks,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Study of arithmetization methods for starks,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:04:02.040363Z

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Observation 65228b17-bcf8-4e24-8f90-85b1a5ae33f2 · outbound

This paper cites Post-quantum zero-knowledge and signatures from symmetric-key primitives,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Post-quantum zero-knowledge and signatures from symmetric-key primitives,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:04:01.888438Z

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Observation 445cba45-74bf-4826-893a-251512d08076 · outbound

This paper cites Multi- collision resistant hash functions and their applications,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Multi- collision resistant hash functions and their applications,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:04:01.599558Z

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Observation cf5b97df-37b4-474f-bf1b-5ea563a3848c · outbound

This paper cites Post-quantum zero-knowledge proofs and applications,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Post-quantum zero-knowledge proofs and applications,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:04:01.312856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c93d80a9-85bf-4315-9c3b-bb282896edc2 · outbound

This paper cites A Review of zk-SNARKs.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs A Review of zk-SNARKs

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:43.127005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efe7e986-258e-45aa-89a9-2549438168ea · outbound

This paper cites A benchmark for different implementations of zero-knowledge proof systems,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs A benchmark for different implementations of zero-knowledge proof systems,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:04:01.098203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0e6db00d-e7b5-4c50-8537-5b49791228f6 · outbound

This paper cites Non-interactive zero-knowledge proof of knowledge and chosen ciphertext attack,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Non-interactive zero-knowledge proof of knowledge and chosen ciphertext attack,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:04:00.961872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9951abb7-10a4-4c60-a171-dcd036738fd1 · outbound

This paper cites Zen: An optimizing compiler for verifiable, zero-knowledge neural network inferences,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Zen: An optimizing compiler for verifiable, zero-knowledge neural network inferences,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:04:00.797318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f9892642-8a86-4dd9-8d52-10a69fd66577 · outbound

This paper cites LegoSNARK: Modular Design and Composition of Succinct Zero-Knowledge Proofs,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs LegoSNARK: Modular Design and Composition of Succinct Zero-Knowledge Proofs,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:04:00.633235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3adca276-0fc4-4235-9795-ec2516bd75c7 · outbound

This paper cites A blockchain-based protocol of trusted setup ceremony for zero-knowledge proof,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs A blockchain-based protocol of trusted setup ceremony for zero-knowledge proof,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:04:00.453347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a4cc60d9-c4d3-494b-a1e5-e0f363f4cfd4 · outbound

This paper cites Efficiency of zero-knowledge proofs: A through review and analysis,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Efficiency of zero-knowledge proofs: A through review and analysis,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:04:00.265922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1fcd8770-2a0a-4af6-97c5-5c9930174ec2 · outbound

This paper cites izkp-aka: A secure and improved zkp-aka protocol for sustainable healthcare,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs izkp-aka: A secure and improved zkp-aka protocol for sustainable healthcare,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:59.987199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4d477dd0-dc37-46e4-a1be-228c5dafbc7b · outbound

This paper cites Linear-time and post-quantum zero-knowledge snarks for r1cs,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Linear-time and post-quantum zero-knowledge snarks for r1cs,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:59.751673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7e43b867-1188-4c73-910d-a9592844088f · outbound

This paper cites On-demand device authentication using zero-knowledge proofs for smart systems,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs On-demand device authentication using zero-knowledge proofs for smart systems,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:59.561764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 105c4a40-efd5-4f0d-9a4e-9fcd3bacbafa · outbound

This paper cites Performance analysis of zero-knowledge proofs,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Performance analysis of zero-knowledge proofs,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:59.405235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4d8cd3a4-671f-48d7-bdeb-b711178c8142 · outbound

This paper cites Gzkp: A gpu accelerated zero-knowledge proof system,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Gzkp: A gpu accelerated zero-knowledge proof system,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:59.184925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7c15afce-2403-4cec-93d2-7955dc6cfced · outbound

This paper cites Practical secure aggregation for privacy-preserving machine learning,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Practical secure aggregation for privacy-preserving machine learning,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:59.022645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 808bb0f1-36fc-4273-9db0-4bcc2ecd7bee · outbound

This paper cites Privacy- preserving machine learning in cloud,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Privacy- preserving machine learning in cloud,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:58.858123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5c4e7e67-b6f4-44dc-a45d-02b60d5f2dc8 · outbound

This paper cites V eriFL: Communication-Efficient and Fast V erifiable Aggregation for Federated Learning,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs V eriFL: Communication-Efficient and Fast V erifiable Aggregation for Federated Learning,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:58.682561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation de865da0-9ce7-441c-8fc7-964619d7427c · outbound

This paper cites A Secure Federated Learning framework using Homomorphic Encryption and V erifiable Computing,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs A Secure Federated Learning framework using Homomorphic Encryption and V erifiable Computing,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:58.510873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fa207a5d-7c75-4705-9842-76e5bdd9cae9 · outbound

This paper cites Universal Interactive V erification Framework for Federated Learning Protocol,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Universal Interactive V erification Framework for Federated Learning Protocol,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:58.291186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 66de7148-d245-4146-b1d7-bd856fdbe305 · outbound

This paper cites VFChain: Enabling V erifiable and Auditable Federated Learning via Blockchain Systems,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs VFChain: Enabling V erifiable and Auditable Federated Learning via Blockchain Systems,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:58.153360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 276c9bab-bb16-404f-9888-683041c31237 · outbound

This paper cites Drynx: Decentralized, Secure, V erifiable System for Statistical Queries and Machine Learning on Distributed Datasets,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Drynx: Decentralized, Secure, V erifiable System for Statistical Queries and Machine Learning on Distributed Datasets,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:57.955702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3b0ccc50-ed9e-4133-a409-196f36ac1eae · outbound

This paper cites A V erifiable Privacy-Preserving Machine Learning Prediction Scheme for Edge- Enhanced HCPSs,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs A V erifiable Privacy-Preserving Machine Learning Prediction Scheme for Edge- Enhanced HCPSs,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:57.830786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b6933c5d-cc73-4256-a40f-9fa88d3e3367 · outbound

This paper cites Secure and V erifiable Inference in Deep Neural Networks,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Secure and V erifiable Inference in Deep Neural Networks,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:57.672358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 29d4c75d-420a-4ddf-8009-f93eb2fea774 · outbound

This paper cites zkMLaaS: A V erifiable Scheme for Machine Learning as a Service,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs zkMLaaS: A V erifiable Scheme for Machine Learning as a Service,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:57.463639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1f5eb58b-1602-48d5-9495-3e29ef1478e9 · outbound

This paper cites Privacy-Preserving and V erifiable Cloud-Aided Disease Diagnosis and Prediction With Hyperplane Decision-Based Classifier,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Privacy-Preserving and V erifiable Cloud-Aided Disease Diagnosis and Prediction With Hyperplane Decision-Based Classifier,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:57.258209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 32d8ab88-7fd3-4271-b2c4-22f76775c4e2 · outbound

This paper cites Hydra: Pipelineable Interactive Arguments of Knowledge for V erifiable Neural Networks,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Hydra: Pipelineable Interactive Arguments of Knowledge for V erifiable Neural Networks,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:57.077521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0c8fca0d-3007-454a-8678-af61cf349c02 · outbound

This paper cites TAIRA-BSC - Trusting AI in Recruitment Applications through Blockchain Smart Contracts,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs TAIRA-BSC - Trusting AI in Recruitment Applications through Blockchain Smart Contracts,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:56.896498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a513e0c4-dece-4a42-90da-46d021d9386b · outbound

This paper cites A Scalable Blockchain Approach for Trusted Computation and V erifiable Simu- lation in Multi-Party Collaborations,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs A Scalable Blockchain Approach for Trusted Computation and V erifiable Simu- lation in Multi-Party Collaborations,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:56.683214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6f71e018-9042-49ba-9b62-bdd5213b2e20 · outbound

This paper cites Machine Learning on Cloud With Blockchain: A Secure, V erifiable and Fair Approach to Outsource the Linear Regression,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Machine Learning on Cloud With Blockchain: A Secure, V erifiable and Fair Approach to Outsource the Linear Regression,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:56.469497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ffab9e14-38cb-4483-b431-28507a0460f7 · outbound

This paper cites Zero- Knowledge Proofs of Training for Deep Neural Networks,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Zero- Knowledge Proofs of Training for Deep Neural Networks,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:56.286111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6b303cab-aeb8-47e9-97ad-3d348057e809 · outbound

This paper cites ZKML: An Optimizing System for ML Inference in Zero-Knowledge Proofs,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs ZKML: An Optimizing System for ML Inference in Zero-Knowledge Proofs,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:56.118835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 53b67dd9-35ac-4e06-8ac5-1ee5957f5f5a · outbound

This paper cites ZEN: An Optimizing Compiler for V erifiable, Zero-Knowledge Neural Network Inferences,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs ZEN: An Optimizing Compiler for V erifiable, Zero-Knowledge Neural Network Inferences,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:55.886936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b1f30585-4456-4d5d-a044-831d68c2a7d7 · outbound

This paper cites ZENO: A Type-based Optimization Framework for Zero Knowledge Neural Network Inference,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs ZENO: A Type-based Optimization Framework for Zero Knowledge Neural Network Inference,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:55.686632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c872e764-bfd8-44c9-8bcf-5b00e0f8bace · outbound

This paper cites Mutually Private V erifiable Machine Learning As-a-service: A Distributed Approach,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Mutually Private V erifiable Machine Learning As-a-service: A Distributed Approach,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:55.479379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6769bdfe-f338-4827-a598-db5dcc1a03be · outbound

This paper cites Efficient Sum-Check Protocol for Convolution,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Efficient Sum-Check Protocol for Convolution,

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:55.286381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 933f0f3c-3ea8-4798-aaf8-df318b2f9aa1 · outbound

This paper cites vCNN: V erifiable Convolutional Neural Network Based on zk-SNARKs,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs vCNN: V erifiable Convolutional Neural Network Based on zk-SNARKs,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:55.137444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b54bab6b-21c3-461f-9312-c7e94a7f8010 · outbound

This paper cites zkCNN: Zero Knowledge Proofs for Convolutional Neural Network Predictions and Accuracy ,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs zkCNN: Zero Knowledge Proofs for Convolutional Neural Network Predictions and Accuracy ,

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:55.000933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5ba8349a-5838-4694-9707-d5c6d3ea8f42 · outbound

This paper cites An Efficient and Extensible Zero-knowledge Proof Framework for Neural Networks,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs An Efficient and Extensible Zero-knowledge Proof Framework for Neural Networks,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:54.880230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a1dc7bab-3f08-4983-b762-b7bb2928d7c6 · outbound

This paper cites zkDL: Efficient Zero-Knowledge Proofs of Deep Learning Training,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs zkDL: Efficient Zero-Knowledge Proofs of Deep Learning Training,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:54.700232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b95cad23-1f12-4d9a-b892-ba45a30d1753 · outbound

This paper cites zkLLM: Zero Knowledge Proofs for Large Language Models,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs zkLLM: Zero Knowledge Proofs for Large Language Models,

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:54.539347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 893b9781-f5ac-4891-9e37-43401572b9d2 · outbound

This paper cites Fairness as a Service (FaaS): V erifiable and privacy-preserving fairness auditing of machine learning systems,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Fairness as a Service (FaaS): V erifiable and privacy-preserving fairness auditing of machine learning systems,

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:54.345028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5149d927-d6d7-4777-8fdb-f84c7847843f · outbound

This paper cites Trustless Audits without Revealing Data or Models,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Trustless Audits without Revealing Data or Models,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:54.206127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ba2bfd28-ac31-4b76-bb3d-2c97416a4e63 · outbound

This paper cites An Efficient and Zero-Knowledge Classical Machine Learning Inference Pipeline,.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs An Efficient and Zero-Knowledge Classical Machine Learning Inference Pipeline,

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:54.039239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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