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Paper Citation Record · LEDGER

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks

As of 17 August 2026, this Paper Citation Record lists 91 of 91 outbound references and 1 inbound Pith citation observation for arXiv:2504.12806.

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

pith.paper-citation-record.v1
2504.12806 v2

Coverage vector

measured 91 of 91 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:30:12.966308Z

measured 92 of 92 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T22:26:40.181507Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T22:29:09.550003Z

Reference resolution

91 of 91 outbound references displayed

  • verified exact9
  • verified fuzzy29
  • unresolved48
  • parse uncertain0
  • malformed identifier4
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c62e4776-bcad-4224-9d73-0e051575fc9d · outbound

This paper cites The future of quantum computing with superconducting qubits,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks The future of quantum computing with superconducting qubits,

Reference 1

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Observation 20f3907d-3a9b-4d31-8f03-63abdd648dd3 · outbound

This paper cites Nisq computing: where are we and where do we go?.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Nisq computing: where are we and where do we go?

Reference 2

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source=pdf_text observed=2026-08-16T12:30:12.511622Z digest=sha256:b7fe7559ae61e457555e145d6260750f399bcfcb72ed6b9c8047d5fa499b55ba

Observation bc3f7d2c-8e64-4887-9d39-7f73d6a5b811 · outbound

This paper cites Recent advances in quantum computing for drug discovery and development,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Recent advances in quantum computing for drug discovery and development,

Reference 3

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source=pdf_text observed=2026-08-16T12:30:12.516716Z digest=sha256:d04f57d3a4c0be093c855902756eaadd725b014932c21132ff925c786b8ffc61

Observation a2e6549e-152d-46f5-8d80-c36a4a12bee7 · outbound

This paper cites Advancements in quantum computing—viewpoint: Building adoption and competency in industry,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Advancements in quantum computing—viewpoint: Building adoption and competency in industry,

Reference 4

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source=pdf_text observed=2026-08-16T12:30:12.521214Z digest=sha256:35b307aa5dbf5e4b8e662e549746de5f0f25de699b6f7fcb8ae000b0d13f414f

Observation 632dc074-21dc-4a5c-99b8-98e200ac901f · outbound

This paper cites Interferometric single-shot parity measurement in inas–al hybrid devices,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Interferometric single-shot parity measurement in inas–al hybrid devices,

Reference 5

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source=pdf_text observed=2026-08-16T12:30:12.525403Z digest=sha256:c004ba1f7245c1bba96d142a29988465e52f6d4e2b2eeea494578c69c319471b

Observation 26a6c625-96f3-40f6-b718-3b5f0a98ce8c · outbound

This paper cites Certified randomness using a trapped-ion quantum processor,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Certified randomness using a trapped-ion quantum processor,

Reference 6

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Observation 2b43a668-6063-4449-a769-fde5d3f9be21 · outbound

This paper cites Quantum support vector machine for big data classification,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Quantum support vector machine for big data classification,

Reference 7

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source=pdf_text observed=2026-08-16T12:30:12.535933Z digest=sha256:c1c12bfab29338b1bc1cda5516883d0b772de260b5065db29080b7bcbde7cf5e

Observation 44e5a812-9b7a-466a-be47-fda9462d15e1 · outbound

This paper cites Training deep quantum neural networks,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Training deep quantum neural networks,

Reference 8

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source=pdf_text observed=2026-08-16T12:30:12.540676Z digest=sha256:8ef9eb676e0b5f30e7ac529a9c2654e812be953ee485764962d4688e73099e4f

Observation 1fc78d65-198a-4273-b111-e01ef3533153 · outbound

This paper cites Experimental quantum speed-up in reinforcement learning agents,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Experimental quantum speed-up in reinforcement learning agents,

Reference 9

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source=pdf_text observed=2026-08-16T12:30:12.544695Z digest=sha256:911aee707e280fa7ff152fee61bf6b06a53382f9d3809adac5c5a9757e0c4b48

Observation 578a9019-aa77-4a4e-8c7a-2abdd99a1cb8 · outbound

This paper cites Meta-genetic programming for static quantum circuits,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Meta-genetic programming for static quantum circuits,

Reference 10

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T12:30:12.548887Z digest=sha256:b44502816d9cdfe7a4b3c126b65b91c71a193d005c35fa019e7e40c12466e696

Observation f0eba5b2-69cf-4091-8dd1-3be50d3556ec · outbound

This paper cites Quantum Mixed-State Self-Attention Network.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Quantum Mixed-State Self-Attention Network

Reference 11

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source=pdf_text observed=2026-08-16T12:30:12.553691Z digest=sha256:fa91cbfa28d494ef33ca259bedc90dfbb7274c28dc8ad8e27499cd70783ff2d9

Observation 5ff4c36c-e9ad-4679-a53c-d0ba929040ce · outbound

This paper cites Supervised quantum machine learning models are kernel methods.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Supervised quantum machine learning models are kernel methods

Reference 12

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source=pdf_text observed=2026-08-16T12:30:12.559177Z digest=sha256:c756044a5e6e3daef26c82a4d365bde97265be38f90780183c67cf7395bc6eb0

Observation e4082d12-cff7-4696-aa70-aac597802bfd · outbound

This paper cites Quantum circuit architecture search for variational quantum algorithms,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Quantum circuit architecture search for variational quantum algorithms,

Reference 13

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source=pdf_text observed=2026-08-16T12:30:12.564085Z digest=sha256:1f580681caf373a419923d35c580e3c5c3d3f7ed106fc4efb0e4e31e1b634ee7

Observation 4dd0f36e-c524-4fa0-83c3-d69cf6248115 · outbound

This paper cites Variational quantum algorithms,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Variational quantum algorithms,

Reference 14

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source=pdf_text observed=2026-08-16T12:30:12.568610Z digest=sha256:0b402defe4ede489429aa628be35e067bb5a294f2c123161c8fe9e77be584aa8

Observation 9062dedf-633c-4059-96ae-152d5c023a3d · outbound

This paper cites Eval- uating analytic gradients on quantum hardware,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Eval- uating analytic gradients on quantum hardware,

Reference 15

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Observation bdf89fcf-19b0-492c-a016-b5ec7aefc2c0 · outbound

This paper cites Hybrid quantum neural networks show strongly reduced need for free parameters in entity matching,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Hybrid quantum neural networks show strongly reduced need for free parameters in entity matching,

Reference 16

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Observation d59c030b-ded0-46b5-87ea-ec979be54a9c · outbound

This paper cites Challenges and opportunities in quantum machine learning,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Challenges and opportunities in quantum machine learning,

Reference 17

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Observation b9718c2c-9711-40aa-a650-a5174374c98f · outbound

This paper cites Quantum machine learning in high energy physics,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Quantum machine learning in high energy physics,

Reference 18

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Observation ea46d23b-801b-4654-ae5d-bfd5ad9f8079 · outbound

This paper cites Practical application of quantum neural network to materials informatics,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Practical application of quantum neural network to materials informatics,

Reference 19

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Observation db085cd8-62c2-406f-825d-754a34e1079a · outbound

This paper cites Quantum machine learning for chemistry and physics,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Quantum machine learning for chemistry and physics,

Reference 20

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Observation 8a060bd0-ab1e-4765-a881-0926250af29d · outbound

This paper cites Barren plateaus in quantum neural network training landscapes,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Barren plateaus in quantum neural network training landscapes,

Reference 21

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Observation fab09ab8-4378-406b-bb3f-e022844b1399 · outbound

This paper cites Barren plateaus in variational quantum computing,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Barren plateaus in variational quantum computing,

Reference 22

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Observation 69126b4d-8d67-476d-98dc-3d39a2538cdd · outbound

This paper cites Avoiding local minima in variational quantum eigensolvers with the natural gradient optimizer,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Avoiding local minima in variational quantum eigensolvers with the natural gradient optimizer,

Reference 23

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Observation a480169d-add9-4d93-adaa-a1934fc68e6d · outbound

This paper cites Adam: A method for stochastic optimization,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Adam: A method for stochastic optimization,

Reference 24

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Observation 84b2b374-3f86-48bb-a2d0-0be0bd19d381 · outbound

This paper cites On the limited memory bfgs method for large scale optimization,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks On the limited memory bfgs method for large scale optimization,

Reference 25

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Observation 7180b6f1-702d-43e8-865d-d49899649480 · outbound

This paper cites Natural gradient works efficiently in learning,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Natural gradient works efficiently in learning,

Reference 26

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Observation 10ebb72f-9782-4738-8b85-c86e087457ee · outbound

This paper cites Expressive variational quantum circuits provide inherent privacy in federated learning.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Expressive variational quantum circuits provide inherent privacy in federated learning

Reference 27

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Observation 56080f73-c415-4844-820f-67a70e79e2fc · outbound

This paper cites Enhancing quantum adversarial robustness by randomized encodings,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Enhancing quantum adversarial robustness by randomized encodings,

Reference 28

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Observation db940a24-da18-4e55-aae5-69eb68462416 · outbound

This paper cites Bridging quantum computing and differential privacy: Insights into quantum computing privacy,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Bridging quantum computing and differential privacy: Insights into quantum computing privacy,

Reference 29

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Observation 392544a2-6a3e-43e7-940c-0bb07ef2e9da · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Communication-Efficient Learning of Deep Networks from Decentralized Data,

Reference 30

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Observation 74e258cb-4960-4e76-8338-bbf4c1d7d9b5 · outbound

This paper cites Training Classical Neural Networks by Quantum Machine Learning.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Training Classical Neural Networks by Quantum Machine Learning

Reference 31

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Observation 60167e0a-5bc2-4aca-aedc-357480f4d44e · outbound

This paper cites Generating quantum feature maps for SVM classifier.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Generating quantum feature maps for SVM classifier

Reference 32

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Observation 7737f6fa-5d3c-4626-b9b6-204891f4e358 · outbound

This paper cites Benchmarking quantum machine learning kernel training for classification tasks.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Benchmarking quantum machine learning kernel training for classification tasks

Reference 33

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Observation ebf19615-95a2-4c3d-ba81-f87a1768b57c · outbound

This paper cites Oppor- tunities of federated learning in connected, cooperative, and automated industrial systems,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Oppor- tunities of federated learning in connected, cooperative, and automated industrial systems,

Reference 34

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Observation 5e512a09-7362-4d27-8676-425e364fa0c4 · outbound

This paper cites Real-time end-to-end federated learning: An automotive case study,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Real-time end-to-end federated learning: An automotive case study,

Reference 35

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Observation cc83b625-dfc4-4736-98a4-53954c0e4830 · outbound

This paper cites A profit-maximizing data marketplace with differentially private federated learning under price competition,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks A profit-maximizing data marketplace with differentially private federated learning under price competition,

Reference 36

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Observation 434bf21c-f2dc-4e90-b008-e7cd7e481139 · outbound

This paper cites Alphafold is running out of data - so drug firms are building their own version,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Alphafold is running out of data - so drug firms are building their own version,

Reference 37

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Observation d0348573-1dee-4a87-b4c9-8c1e1e6f49a5 · outbound

This paper cites A survey on federated learning systems: Vision, hype and reality for data privacy and protection,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks A survey on federated learning systems: Vision, hype and reality for data privacy and protection,

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-16T12:30:14.353193Z

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.

source=pdf_text observed=2026-08-16T12:30:12.689343Z digest=sha256:2c7ab3ca75f35a8d5e048da0dc7bc53d9a11e1a675f008d2f3da75e8f456bc99

Observation b1a57994-0d37-4000-8070-99d34ebc719a · outbound

This paper cites Model aggregation techniques in federated learning: A comprehensive survey,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Model aggregation techniques in federated learning: A comprehensive survey,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:30:14.336082Z

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.

source=pdf_text observed=2026-08-16T12:30:12.695229Z digest=sha256:8fe623cd4140adbe5a4cfc257deb1d67d94decb63d9a1d8aba21cfd07b95ed99

Observation 76c8bedc-bde6-426b-886b-e03b99716f9a · outbound

This paper cites Threats to federated learning: A survey,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Threats to federated learning: A survey,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:30:14.320943Z

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.

source=pdf_text observed=2026-08-16T12:30:12.700831Z digest=sha256:23001739cf6b1b6825c4dc376c8078c19cd22cfbdd5b0afe0f7cd4fd7ef500dd

Observation 5f3bc98d-d19b-4c2c-a542-c10c8c47c57d · outbound

This paper cites Federated learning with differential privacy: Algorithms and performance analysis,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Federated learning with differential privacy: Algorithms and performance analysis,

Reference 41

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unresolved
no resolver link, observed 2026-08-16T12:30:12.714824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:30:12.714824Z digest=sha256:535b4b75333b1b17f8ae48ed1f8d363152340856439c1b1d19364559e27df5a9

Observation 011dfe58-ac62-400d-a23f-7145cde75864 · outbound

This paper cites A survey on security and privacy of federated learning,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks A survey on security and privacy of federated learning,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:30:14.294346Z

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.

source=pdf_text observed=2026-08-16T12:30:12.721202Z digest=sha256:73aa1abd1048621b37ace8894c259b56344e49aab6e3ccfa05ef00a0e2e6796f

Observation 73a7121c-62dd-449d-a4a8-3cfd85d2cb57 · outbound

This paper cites Deep Leakage from Gradients.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Deep Leakage from Gradients

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-16T12:30:12.725959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:30:12.725959Z digest=sha256:ecb2bd359eccc43e8436f63c11b5dfb3878c8c4a34fa54687d093049afad39cc

Observation 1a9b9164-61de-4beb-8451-618c0f915957 · outbound

This paper cites Inverting Gradients -- How easy is it to break privacy in federated learning?.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Inverting Gradients -- How easy is it to break privacy in federated learning?

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T12:30:12.730708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:30:12.730708Z digest=sha256:196771cc053d225fa29494407cf1a74bb4de1e427f4a87ac65392eb44abe2f44

Observation 510ffcd7-2698-4aca-aa09-1d997d4bd917 · outbound

This paper cites Mixing gradients in neural networks as a strategy to enhance privacy in federated learning,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Mixing gradients in neural networks as a strategy to enhance privacy in federated learning,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:30:14.280356Z

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.

source=pdf_text observed=2026-08-16T12:30:12.738547Z digest=sha256:74f1d8c23755cfa4c20b91f2b32cb1af0720fa5ab8ca6fedc92bafbd674e8494

Observation e5094306-2655-46f1-ab0a-d9508bf6043c · outbound

This paper cites Inverting gradients - how easy is it to break privacy in federated learning?.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Inverting gradients - how easy is it to break privacy in federated learning?

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:30:14.264572Z

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.

source=pdf_text observed=2026-08-16T12:30:12.742610Z digest=sha256:76d45195c379d392cfd56ff9f45b3ed9599d74678593fbff434d51e697688012

Observation e1a622d9-5e2e-4d75-b465-a44b18036142 · outbound

This paper cites See through gradients: Image batch recovery via gradinversion,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks See through gradients: Image batch recovery via gradinversion,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:30:14.247600Z

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.

source=pdf_text observed=2026-08-16T12:30:12.747577Z digest=sha256:f3a6a6e7e4f513cdda7917f5f9125f9c797d4d4714c2a5939bc0b7b1fbbcc8e8

Observation 5b6e9863-fc87-4ecb-a7be-6df4f269629e · outbound

This paper cites The secret revealer: Generative model-inversion attacks against deep neural networks,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks The secret revealer: Generative model-inversion attacks against deep neural networks,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:30:14.228272Z

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.

source=pdf_text observed=2026-08-16T12:30:12.753188Z digest=sha256:b40e2b73aa53b2a4d157aec438bed79012d2819fdbd28aef2efde2d5ecd268c7

Observation cf14fe5a-77ba-4ff9-a18e-eb5346763400 · outbound

This paper cites An analysis of the vulnerability of two common deep learning- based medical image segmentation techniques to model inversion attacks,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks An analysis of the vulnerability of two common deep learning- based medical image segmentation techniques to model inversion attacks,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:30:14.211936Z

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.

source=pdf_text observed=2026-08-16T12:30:12.758375Z digest=sha256:f223a82817bdb35de9f4e5e5b48ecf09037ef8a13d5a6b4483e8b92b2518768a

Observation d1e53862-5259-4ec0-8ca2-8731754beb91 · outbound

This paper cites Model inversion attacks against graph neural networks,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Model inversion attacks against graph neural networks,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:30:14.194360Z

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.

source=pdf_text observed=2026-08-16T12:30:12.762804Z digest=sha256:f3773f1adeb2ba5ecd264bdba6df88c70a116c0c8cab57974989b1d0d5f35f8b

Observation ab2355a7-d568-4d56-929b-4a4496a963de · outbound

This paper cites Model inversion attacks that exploit confidence information and basic countermeasures,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Model inversion attacks that exploit confidence information and basic countermeasures,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-16T12:30:12.767546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:30:12.767546Z digest=sha256:80a151bc2f95f33ea0dc62f2335abd3e5038d7daccacb095665c230421725c72

Observation 36af8db0-e3f2-46c2-89a0-8546a36b8163 · outbound

This paper cites BatchCrypt: Efficient homomorphic encryption for Cross-Silo federated learning,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks BatchCrypt: Efficient homomorphic encryption for Cross-Silo federated learning,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:30:14.181059Z

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.

source=pdf_text observed=2026-08-16T12:30:12.771824Z digest=sha256:8ce45d25ce468a04cca808f2841cb4ff4b400774f33e943d3050711be19ea83c

Observation 6d0a446c-ae6d-47d4-a8be-449649161420 · outbound

This paper cites Ho- momorphic encryption-based privacy-preserving federated learning in iot-enabled healthcare system,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Ho- momorphic encryption-based privacy-preserving federated learning in iot-enabled healthcare system,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:30:14.167495Z

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.

source=pdf_text observed=2026-08-16T12:30:12.777665Z digest=sha256:69589fea321dc3195d504facf87a7786e5bd1b278eb498e0bafa8cc4ae3b5d33

Observation ec080438-c2f9-473a-a270-8181672e890a · outbound

This paper cites Privacy-preserving federated learning based on multi-key homomorphic encryption,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Privacy-preserving federated learning based on multi-key homomorphic encryption,

Reference 54

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malformed identifier
no resolver link, observed 2026-08-16T12:30:12.782266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:30:12.782266Z digest=sha256:2d96b13943cfbe738d073c12894ef1079e333388c67c38cdfb54cc745e94819a

Observation 845f4234-e332-4597-ad2f-4e584fd5e604 · outbound

This paper cites Privacy- preserving quantum federated learning via gradient hiding,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Privacy- preserving quantum federated learning via gradient hiding,

Reference 55

Resolution
verified exact
doi, observed 2026-08-16T12:30:13.134980Z

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.

source=pdf_text observed=2026-08-16T12:30:12.786951Z digest=sha256:904ba27ee508d46966ba48a3c326733f82b804ac84c868650b65668102130358

Observation 2f2329eb-f890-46b5-9c15-b039e4aeb5e3 · outbound

This paper cites Quantum federated learning with decen- tralized data,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Quantum federated learning with decen- tralized data,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:30:14.151401Z

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.

source=pdf_text observed=2026-08-16T12:30:12.792962Z digest=sha256:4f1add7d5d92086cd06110ce5d0676226958b495075612c8ca6eb28b53356022

Observation 72a6799b-298a-4eeb-8255-c03fbfe67c8e · outbound

This paper cites Federated quantum machine learning,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Federated quantum machine learning,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:30:14.133387Z

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.

source=pdf_text observed=2026-08-16T12:30:12.797140Z digest=sha256:dff6360abb188ede7db59c2c4a9e40cf80682df070efac2b9c1004bd7c21d383

Observation a607cc45-3bbf-4eaa-b1aa-78595b939c90 · outbound

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

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Gradient-based learning applied to document recognition,

Reference 58

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unresolved
no resolver link, observed 2026-08-16T12:30:12.802851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:30:12.802851Z digest=sha256:fa66e404039e3774f56bf13dc5769342ccf30dc8deaa449422c19815cff5eee7

Observation f70e8a98-c860-45df-b6d3-6a6579ed25dc · outbound

This paper cites Credit card fraud detection,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Credit card fraud detection,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:30:14.092376Z

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.

source=pdf_text observed=2026-08-16T12:30:12.806968Z digest=sha256:bf8e642e0de6156c26ce4f0eccb819c1b55abf8d6e031b667e44e22362efddc8

Observation 905fd3a8-2420-4101-a379-1c4a1f38d982 · outbound

This paper cites Quantum federated learning through blind quantum computing,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Quantum federated learning through blind quantum computing,

Reference 60

Resolution
verified exact
doi, observed 2026-08-16T12:30:13.111498Z

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.

source=pdf_text observed=2026-08-16T12:30:12.811651Z digest=sha256:fd27f9ca099a04307448374594d57fd5443ea3d2bcd20745d1b4904a10cc443c

Observation 1dccd8a4-39b4-4b91-91e3-ca0953f2d169 · outbound

This paper cites Prospects of Privacy Advantage in Quantum Machine Learning.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Prospects of Privacy Advantage in Quantum Machine Learning

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-16T12:30:12.816800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:30:12.816800Z digest=sha256:81d4a0ff30dcf2188628ca3223c0de0cd4b9a8e31eec9a00d71f5fccb1e9bde3

Observation faffcdfc-aeeb-44e9-b6f1-e8b017c2fe94 · outbound

This paper cites Decentralizing feature extraction with quantum convolutional neural network for automatic speech recognition,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Decentralizing feature extraction with quantum convolutional neural network for automatic speech recognition,

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-16T12:30:12.827781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:30:12.827781Z digest=sha256:00af31894da8987e7e57cc2f87811be6829acf12ffcea8440258edfb5c2ecf78

Observation 236dbd26-8e58-433c-9875-ef59d801df48 · outbound

This paper cites Quantum machine learning with differential privacy,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Quantum machine learning with differential privacy,

Reference 63

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unresolved
no resolver link, observed 2026-08-16T12:30:12.834096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:30:12.834096Z digest=sha256:a9c94a383e2f8f1216a8d019f21766c8e04ebf6e9993449aa1e8ad988c89c6bf

Observation 05967e6a-3a88-4589-8ea6-bff0c1721b98 · outbound

This paper cites Quantum differential privacy: An information theory perspective,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Quantum differential privacy: An information theory perspective,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:30:14.076287Z

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.

source=pdf_text observed=2026-08-16T12:30:12.839666Z digest=sha256:4d8c9027f818fee1418978e69203ddc4626155ed274fd534c8dfdb76cedb9c48

Observation 529009e8-a2ed-478a-9a23-91a3b450c0ce · outbound

This paper cites Federated quantum machine learning with differential privacy,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Federated quantum machine learning with differential privacy,

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-16T12:30:12.844579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:30:12.844579Z digest=sha256:0c8663eb940468752404ad4a321a44de2238c4faa0fbe3af7da2f32979e25e07

Observation ee33b731-253b-40e6-a245-41ded6a3286d · outbound

This paper cites Quantum federated learning for image classification,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Quantum federated learning for image classification,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:30:14.061559Z

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.

source=pdf_text observed=2026-08-16T12:30:12.848555Z digest=sha256:20862544b4ac06cccfabd1f7b2deef63de13e585f6f12531ce2867e9688bfe2e

Observation 3fe8edc8-8703-49a4-9174-05885623f485 · outbound

This paper cites Predominant aspects on security for quantum machine learning: Literature review,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Predominant aspects on security for quantum machine learning: Literature review,

Reference 67

Resolution
verified exact
raw_fallback, observed 2026-08-16T12:30:13.457825Z

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.

source=pdf_text observed=2026-08-16T12:30:12.852674Z digest=sha256:da403187ac518c506261e471530a58b9f2640c54405d7ffb3676a4406387308f

Observation fad570df-2b2b-4454-8c18-208db52d2c47 · outbound

This paper cites Biggio, I.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Biggio, I

Reference 68

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unresolved
no resolver link, observed 2026-08-16T12:30:12.856883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:30:12.856883Z digest=sha256:0a1f056cfb764b58b3e1b0f10be31484b985e42e3a8b348bd0e5d10089d24e64

Observation 7e7f1ff9-d5cb-4f79-a289-f191482cdee6 · outbound

This paper cites Towards Evaluating the Robustness of Neural Networks.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Towards Evaluating the Robustness of Neural Networks

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-16T12:30:12.861686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:30:12.861686Z digest=sha256:fa171b7875ef0fc38293b7fadda22b5ccdf7527c8d751a9770410fb8d45e731a

Observation 0afda983-c4db-4ff5-8f97-880335d32db8 · outbound

This paper cites Robust in practice: Adversarial attacks on quantum machine learning,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Robust in practice: Adversarial attacks on quantum machine learning,

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-16T12:30:12.867686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:30:12.867686Z digest=sha256:f3b48c950ee08c19e3e3f78eb752a93526e8226c304043400d41aa6718821fe9

Observation bbbc356c-716a-4f8e-ad8a-d86199385f5d · outbound

This paper cites Optimal provable robustness of quantum classification via quantum hypothesis testing,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Optimal provable robustness of quantum classification via quantum hypothesis testing,

Reference 71

Resolution
verified exact
doi, observed 2026-08-16T12:30:13.055776Z

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.

source=pdf_text observed=2026-08-16T12:30:12.873175Z digest=sha256:6ac235ca6b8e8260b8241d023530e6c24c14a36e84d7785a7f4aa1694d3b50e9

Observation 155830ca-87af-4b64-bfd6-c6ba186ce97b · outbound

This paper cites Differential privacy in quantum computation,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Differential privacy in quantum computation,

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-16T12:30:12.879454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:30:12.879454Z digest=sha256:07e388430e88274bbe70c605759465aaab22009a3b49adf8801f27fa0a11e33e

Observation c4d638b7-e7b9-4af0-9cae-e50448b9c550 · outbound

This paper cites Quantum noise protects quantum classifiers against adversaries,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Quantum noise protects quantum classifiers against adversaries,

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-16T12:30:12.883718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:30:12.883718Z digest=sha256:0826468d9340b4adb966c9662ec7753252b9670a7ea677061ac8f3c01b766df4

Observation 505d0036-5002-4415-9e12-1fd3cdfa322a · outbound

This paper cites Variational Quantum Neural Networks (VQNNS) in Image Classification.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Variational Quantum Neural Networks (VQNNS) in Image Classification

Reference 74

Resolution
verified exact
local_arxiv, observed 2026-08-16T12:30:13.365869Z

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.

source=pdf_text observed=2026-08-16T12:30:12.888620Z digest=sha256:a8b09e7666ec7fbd3f89e1ea747965756d67527bb105d6af68f749da2b9cacbd

Observation c2520b4d-f25b-437b-999e-a848a48f758f · outbound

This paper cites Hybrid quantum-classical approach to quantum optimal control,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Hybrid quantum-classical approach to quantum optimal control,

Reference 75

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verified fuzzy
raw_fallback, observed 2026-08-16T12:30:14.033097Z

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.

source=pdf_text observed=2026-08-16T12:30:12.894773Z digest=sha256:9cef12b9a7c18fc0951ca152dcdf5edfe18f60ab2b2a366f41bd7e716a1be209

Observation 8f6d3a08-465d-4291-94dd-972200679fc2 · outbound

This paper cites Quantum circuit learning,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Quantum circuit learning,

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:30:14.009968Z

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.

source=pdf_text observed=2026-08-16T12:30:12.898990Z digest=sha256:050e2e5b093ef9e511f87e589e505694a99590b59b1888996b235616bc1b0296

Observation adcffc61-807f-4272-844b-6f8b6fa7f75f · outbound

This paper cites General parameter- shift rules for quantum gradients,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks General parameter- shift rules for quantum gradients,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:30:13.991808Z

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.

source=pdf_text observed=2026-08-16T12:30:12.902460Z digest=sha256:b81fc14ca162bb0be9e5615468de7afa27dbaa65fcf2214484f8ae5a6b4faf5c

Observation 5544c832-333c-4e5b-8a73-0d05f653d849 · outbound

This paper cites InstaHide: Instance-hiding Schemes for Private Distributed Learning.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks InstaHide: Instance-hiding Schemes for Private Distributed Learning

Reference 78

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unresolved
no resolver link, observed 2026-08-16T12:30:12.906568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:30:12.906568Z digest=sha256:17e84ab51317be16b7b8c8d4fbde657eba4e05d4f9aefcf8b9148468c7299b28

Observation 4cfd1840-5f52-45b1-9be0-433731e42d94 · outbound

This paper cites An introduction to the kalman filter,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks An introduction to the kalman filter,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:30:13.959313Z

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.

source=pdf_text observed=2026-08-16T12:30:12.919248Z digest=sha256:96aa94d03c850862503edbaf4526a26c6c42c768a00d9cd3ffa5f7b8d92e57b0

Observation b4e6c407-1550-49b7-ae7c-a3eb9bdea27f · outbound

This paper cites Quantum computing with Qiskit,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Quantum computing with Qiskit,

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-16T12:30:12.926060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:30:12.926060Z digest=sha256:36c027bc736bcae9afac03ef625458fc7e75ddc1cfff961abfa0c98b9b5d394b

Observation 0b93a0b1-74f6-4ce1-b51c-8386d7f79b89 · outbound

This paper cites PennyLane: Automatic differentiation of hybrid quantum-classical computations.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks PennyLane: Automatic differentiation of hybrid quantum-classical computations

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-16T12:30:12.931905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:30:12.931905Z digest=sha256:5a8fa953cad890c49c54ba299107ed5bf76ac70ef64ba8b0b5aa640c01d7ebb3

Observation b1bbc4d4-32f5-4601-a660-e4006232184b · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 221081368.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Available: https://api.semanticscholar.org/CorpusID: 221081368

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:30:13.973962Z

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.

source=pdf_text observed=2026-08-16T12:30:12.912151Z digest=sha256:ba7adbf7092e6426a61e372e74968677b037c2b984c686ae0873dbbda21acc74

Observation 27ae6d39-b08a-4553-a3c0-26282d28d404 · outbound

This paper cites Medical imaging deep learning with differential privacy,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Medical imaging deep learning with differential privacy,

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-16T12:30:12.944372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:30:12.944372Z digest=sha256:af49695fbca8c2790054f0ede0c7f64b14690c4f48870293f3fe9f3ec348b1ff

Observation 3c57b312-91c0-4119-b9ad-7b226098d7db · outbound

This paper cites Absolute variation distance: An inversion attack evaluation metric for federated learning,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Absolute variation distance: An inversion attack evaluation metric for federated learning,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:30:13.915552Z

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.

source=pdf_text observed=2026-08-16T12:30:12.950572Z digest=sha256:5a1bf6e780c7a2ab92bcad8b288f9f502868ddaf2921cc4f45fa4a331cedcfc9

Observation 39b5da2b-643c-4051-a28f-b74979c9a284 · outbound

This paper cites Minimal Model Structure Analysis for Input Reconstruction in Federated Learning.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Minimal Model Structure Analysis for Input Reconstruction in Federated Learning

Reference 85

Resolution
verified exact
local_arxiv, observed 2026-08-16T12:30:13.317639Z

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.

source=pdf_text observed=2026-08-16T12:30:12.956751Z digest=sha256:cc91f573dd841fb1f94b5ba2ed02ee73f3fdee1a23b63cce7aa1862e1104fbf3

Observation cd86df9b-e541-4a71-af38-d9d974fe4eff · outbound

This paper cites Bagdasaryan, O.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Bagdasaryan, O

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:30:13.931469Z

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.

source=pdf_text observed=2026-08-16T12:30:12.937352Z digest=sha256:697d601b59122050b25d51caa1dbfa7ac64423894210e2fff0d5b3b66f97868a

Observation 87d1a104-8eea-4214-960c-12db6ed14c1d · outbound

This paper cites A kalman filtering tutorial for undergraduate students,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks A kalman filtering tutorial for undergraduate students,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:30:13.899107Z

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.

source=pdf_text observed=2026-08-16T12:30:12.966308Z digest=sha256:d2e43ffe294e86cbb909c229c1cad92ad937474506503a1e74a79c269a5e3c86

Observation daf21dab-ddea-4ec8-9e0c-f21ce94a6d23 · outbound

This paper cites Reduction of finite sampling noise in quantum neural networks,.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Reduction of finite sampling noise in quantum neural networks,

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-16T12:30:12.961725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:30:12.961725Z digest=sha256:05edac9a4d07197a83da97b7a256529cc59733bc39882eb20d11ac20ea52f410

Observation a4b40164-d0ae-46b9-9558-dbc27a05fe79 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Adam: A Method for Stochastic Optimization

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-16T12:30:12.625750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:30:12.625750Z digest=sha256:a5a4c2bac1e2856799a4d2f30663bde691304c754781e0ebf6916b2d5cf7ccf0

Observation 678f67b1-db2a-43ce-866c-d32e2b8c99db · outbound

This paper cites Threats to Federated Learning: A Survey.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Threats to Federated Learning: A Survey

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-16T12:30:12.709877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:30:12.709877Z digest=sha256:08d2dbc6f99f130881726fbc8417fc6f6b70cf5fd1aeda897abe0028f6dae400

Observation 3e7e6222-9079-481d-a317-e487281d1a16 · outbound

This paper cites Available: https://dx.doi.org/10.1088/2632-2153/abc17d.

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Available: https://dx.doi.org/10.1088/2632-2153/abc17d

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-16T12:30:12.594177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:30:12.594177Z digest=sha256:dc2dd7b73404fdbda01713237d00e455c0eea844d644091817df7fd5f4ed77b2

Pith citing papers

Observation 2b95bedd-8c0d-48b5-b3cc-73cb43fa37d9 · inbound

Quantum Adversarial Machine Learning: From Classical Adaptations to Quantum-Native Methods cites this paper.

Quantum Adversarial Machine Learning: From Classical Adaptations to Quantum-Native Methods A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:29:09.553239Z

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.

source=pdf_text observed=2026-05-20T22:26:40.181507Z digest=sha256:f940962e7ddc1670de85901afd80f2d61aeb70e05911161f59babfc0bba09dbf