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Paper Citation Record · LEDGER

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses

As of 7 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2506.21842.

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

pith.paper-citation-record.v1
2506.21842 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:22:10.833021Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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 2026-05-20T22:29:09.478029Z

Reference resolution

26 of 26 outbound references displayed

  • verified exact7
  • verified fuzzy2
  • unresolved17
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 57b9b338-9006-429f-b8f8-bdb8076d6081 · outbound

This paper cites Quantum machine learning,.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses Quantum machine learning,

Reference 1

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Observation 96973f52-227b-4dfd-9db3-32f9cf3dc957 · outbound

This paper cites An introduction to quantum machine learning,.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses An introduction to quantum machine learning,

Reference 2

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Observation ef001af2-ea41-42af-a9c5-5d4efa1bc3ae · outbound

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

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses Challenges and opportunities in quantum machine learning,

Reference 3

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Observation f2585aa7-6bbb-49d1-99cc-0c4bf468aa45 · outbound

This paper cites Quantum Computing in the NISQ era and beyond,.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses Quantum Computing in the NISQ era and beyond,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-06T22:22:37.324750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6c18c529-bef6-4771-8895-c7ad19243a4f · outbound

This paper cites Quantum Cloud Computing: A Review, Open Problems, and Future Directions.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses Quantum Cloud Computing: A Review, Open Problems, and Future Directions

Reference 5

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Observation 571297df-0be9-4817-9ea3-2f11b58261f0 · outbound

This paper cites Classification with Quantum Neural Networks on Near Term Processors.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses Classification with Quantum Neural Networks on Near Term Processors

Reference 6

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Observation fd71db6f-ef00-40ff-a650-cc1ec91c3664 · outbound

This paper cites Security Concerns in Quantum Machine Learning as a Service.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses Security Concerns in Quantum Machine Learning as a Service

Reference 7

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local_arxiv, observed 2026-08-06T22:22:36.892425Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9351f494-baec-4d62-81ff-c4c69ae67c5a · outbound

This paper cites Quantum embeddings for machine learning.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses Quantum embeddings for machine learning

Reference 8

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Observation 108ee8ad-0332-4dfd-ad02-8ddb04032314 · outbound

This paper cites Quantum machine learning in feature hilbert spaces,.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses Quantum machine learning in feature hilbert spaces,

Reference 9

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Observation b3ff4e41-dd67-444d-9be8-4bb7248d2e57 · outbound

This paper cites Supervised learning with quantum-enhanced feature spaces,.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses Supervised learning with quantum-enhanced feature spaces,

Reference 10

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Observation a311cfd7-9683-4646-a622-ab985053b49b · outbound

This paper cites The Quantum Imitation Game: Reverse Engineering of Quantum Machine Learning Models.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses The Quantum Imitation Game: Reverse Engineering of Quantum Machine Learning Models

Reference 11

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local_arxiv, observed 2026-08-06T22:22:34.601477Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7ad9b93e-5689-4c7d-9168-c83b8021de97 · outbound

This paper cites Stealthy SWAPs: Adversarial SWAP Injection in Multi-Tenant Quantum Computing.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses Stealthy SWAPs: Adversarial SWAP Injection in Multi-Tenant Quantum Computing

Reference 12

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Observation cdfae7d0-518b-468b-ac26-ab3e5f055e07 · outbound

This paper cites Improved Adversarial Training via Learned Optimizer.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses Improved Adversarial Training via Learned Optimizer

Reference 13

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local_arxiv, observed 2026-08-06T22:22:34.394047Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b5cfc29a-9868-44b5-9c0b-b4a5d40b347d · outbound

This paper cites Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers

Reference 14

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Observation a2f6be5c-050d-4cce-ac7b-1916f7897c94 · outbound

This paper cites Crosstalk-induced Side Channel Threats in Multi-Tenant NISQ Computers.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses Crosstalk-induced Side Channel Threats in Multi-Tenant NISQ Computers

Reference 15

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Observation b3738446-6eba-4b23-8bb4-e99a26dd6498 · outbound

This paper cites QubitHammer: Remotely Inducing Qubit State Change on Superconducting Quantum Computers.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses QubitHammer: Remotely Inducing Qubit State Change on Superconducting Quantum Computers

Reference 16

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Observation eaa58afc-da59-4975-93c8-66eb8d38f068 · outbound

This paper cites Guardians of the Quantum GAN.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses Guardians of the Quantum GAN

Reference 17

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local_arxiv, observed 2026-08-06T22:22:34.101981Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a20546f5-cb9e-4b08-8c1a-d11cae7180ae · outbound

This paper cites Evaluating efficacy of model stealing attacks and defenses on quantum neural networks,.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses Evaluating efficacy of model stealing attacks and defenses on quantum neural networks,

Reference 18

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raw_fallback, observed 2026-08-06T22:22:37.201331Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:22:10.254755Z digest=sha256:c4b995e2b0c98535179b1b173681f6669e798409320bc5be93e292fcfd3b277d

Observation bae83335-e428-44b1-83a6-7702a361ab18 · outbound

This paper cites CopyQNN: Quantum Neural Network Extraction Attack under Varying Quantum Noise.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses CopyQNN: Quantum Neural Network Extraction Attack under Varying Quantum Noise

Reference 19

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Observation f87e7bf6-0d97-4e03-b5c3-ccbe047dbadf · outbound

This paper cites Security Attacks Abusing Pulse-level Quantum Circuits.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses Security Attacks Abusing Pulse-level Quantum Circuits

Reference 20

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Observation 40bfd663-7165-4131-adfb-8651f54c5e3c · outbound

This paper cites Adversarial Data Poisoning Attacks on Quantum Machine Learning in the NISQ Era.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses Adversarial Data Poisoning Attacks on Quantum Machine Learning in the NISQ Era

Reference 21

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Observation 2d352553-9a83-4b71-badf-d0d24508316f · outbound

This paper cites QuMoS: A Framework for Preserving Security of Quantum Machine Learning Model.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses QuMoS: A Framework for Preserving Security of Quantum Machine Learning Model

Reference 22

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local_arxiv, observed 2026-08-06T22:22:33.911892Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 428a0217-6a4d-4d8c-8023-cd151d664247 · outbound

This paper cites AI-driven Reverse Engineering of QML Models.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses AI-driven Reverse Engineering of QML Models

Reference 23

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Observation f13fe44a-b652-439f-874f-58406c1e0884 · outbound

This paper cites Locking the design of building blocks for quantum circuits,.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses Locking the design of building blocks for quantum circuits,

Reference 24

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doi, observed 2026-08-06T22:22:33.000195Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 98fb8638-7918-4bcb-bd30-ed7f7c075889 · outbound

This paper cites OPAQUE: Obfuscating Phase in Quantum Circuit Compilation for Efficient IP Protection.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses OPAQUE: Obfuscating Phase in Quantum Circuit Compilation for Efficient IP Protection

Reference 25

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local_arxiv, observed 2026-08-06T22:22:33.778124Z

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source=pdf_text observed=2026-08-06T22:22:10.833021Z digest=sha256:28b148cf3bcd394b485e7e5f74c4e937233d736096d3e584b07a5686dc8833f5

Observation fd6f1165-2b0d-405a-8bfd-0791012be5c3 · outbound

This paper cites Available: https://doi.org/10.22331/q-2018-08-06-79.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses Available: https://doi.org/10.22331/q-2018-08-06-79

Reference 2018

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Pith citing papers

Observation 7d04254a-a885-4850-bd5b-ec3b43a773f1 · 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 Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses

Reference 11

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arxiv_id, observed 2026-05-20T22:29:09.480645Z

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