Paper Citation Record · LEDGER

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives

As of 9 August 2026, this Paper Citation Record lists 100 of 280 outbound references and 4 inbound Pith citation observations for arXiv:2508.15031.

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

pith.paper-citation-record.v1
2508.15031 v2

Coverage vector

measured 100 of 280 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:12:37.318253Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:39:56.125373Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T21:55:05.385766Z

Reference resolution

100 of 280 outbound references displayed

verified exact1
verified fuzzy0
unresolved97
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

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This paper cites an unresolved cited work.

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Unresolved cited work

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Unresolved cited work

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Observation a8fcd1e3-3e44-4045-9dd2-f8332f59bbfc · outbound

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Unresolved cited work

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Unresolved cited work

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Unresolved cited work

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Vasilakos

Reference 6

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This paper cites Model extraction from counterfactual explanations.

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Model extraction from counterfactual explanations

Reference 7

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This paper cites an unresolved cited work.

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Unresolved cited work

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This paper cites an unresolved cited work.

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Unresolved cited work

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives GPT4All: An Ecosystem of Open Source Compressed Language Models

Reference 10

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Unresolved cited work

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Unresolved cited work

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Unresolved cited work

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This paper cites GENIE: Watermarking Graph Neural Networks for Link Prediction.

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives GENIE: Watermarking Graph Neural Networks for Link Prediction

Reference 14

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Special Characters Attack: Toward Scalable Training Data Extraction From Large Language Models

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Unresolved cited work

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Unresolved cited work

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Unresolved cited work

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Unresolved cited work

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Unresolved cited work

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Unresolved cited work

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Unresolved cited work

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Unresolved cited work

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Unresolved cited work

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Unresolved cited work

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Unresolved cited work

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Unresolved cited work

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Unresolved cited work

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Stealing Part of a Production Language Model

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Unresolved cited work

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives A Protection against the Extraction of Neural Network Models

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives DynaMarks: Defending Against Deep Learning Model Extraction Using Dynamic Watermarking

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Jha, and Songbai Yan

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives QUEEN: Query Unlearning against Model Extraction

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives MISLEADER: Defending against Model Extraction with Ensembles of Distilled Models

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Dai, Hui Li, Tian Tian, Xin Huang, L

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Adversarial Model Extraction on Graph Neural Networks

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Stealing Neural Networks via Timing Side Channels

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Increasing the Cost of Model Extraction with Calibrated Proof of Work

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Unresolved cited work

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A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints

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