Paper Citation Record · LEDGER

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings

As of 7 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2602.18934.

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

pith.paper-citation-record.v1
2602.18934 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:52:49.514513Z

measured 46 of 46 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

verified exact0
verified fuzzy0
unresolved46
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d61c60a8-a5eb-4d5c-8fa3-109c16df2461 · outbound

This paper cites Privacy-preserving machine learning for healthcare: open challenges and future perspectives,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Privacy-preserving machine learning for healthcare: open challenges and future perspectives,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:45.478229Z

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Unavailable: canonical work link unavailable.

Observation 97b6a9db-ed88-432d-9c01-5a24194519a1 · outbound

This paper cites Machine learning as a service (mlaas)—an enterprise perspective,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Machine learning as a service (mlaas)—an enterprise perspective,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:45.550819Z

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Unavailable: canonical work link unavailable.

Observation 533bbcee-267e-4a56-adb4-5fb8ed5212fb · outbound

This paper cites Membership inference attacks against machine learning models,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Membership inference attacks against machine learning models,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:45.647380Z

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Unavailable: canonical work link unavailable.

Observation 26344536-7625-47f6-b66a-b2f204db5aae · outbound

This paper cites Ml-leaks: Model and data independent membership inference attacks and defenses on machine learning models,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Ml-leaks: Model and data independent membership inference attacks and defenses on machine learning models,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:45.713131Z

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Unavailable: canonical work link unavailable.

Observation 1a83376f-cdc4-4ac5-9fed-4063cb6c722c · outbound

This paper cites Knock knock, who’s there? membership inference on aggregate location data,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Knock knock, who’s there? membership inference on aggregate location data,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:45.788323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38233162-dd75-43ff-9809-11df0790bdb6 · outbound

This paper cites Demystifying membership inference attacks in machine learning as a service,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Demystifying membership inference attacks in machine learning as a service,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:45.845547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 592ccc66-975b-4db2-afc2-b213cd815f19 · outbound

This paper cites LOGAN: membership inference attacks against generative models,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings LOGAN: membership inference attacks against generative models,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:45.905327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8976221-d810-41b1-8501-992650251908 · outbound

This paper cites Monte carlo and reconstruction membership inference attacks against generative models,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Monte carlo and reconstruction membership inference attacks against generative models,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:45.970530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d5867ef-25af-45af-b2c5-8351e4bb34ba · outbound

This paper cites Privacy risks of securing machine learning models against adversarial examples,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Privacy risks of securing machine learning models against adversarial examples,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:46.086606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dd54fdf-b3c7-4142-a027-1e682c62da53 · outbound

This paper cites White-box vs black-box: Bayes optimal strategies for membership inference,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings White-box vs black-box: Bayes optimal strategies for membership inference,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:46.162354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6661713-8124-4f79-9429-917948f14140 · outbound

This paper cites A pragmatic approach to membership inferences on machine learning models,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings A pragmatic approach to membership inferences on machine learning models,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:46.249576Z

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Unavailable: canonical work link unavailable.

Observation 395e5ce9-366c-47c1-aeee-9451868803f8 · outbound

This paper cites Membership inference attacks and defenses in classification models,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Membership inference attacks and defenses in classification models,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:46.367503Z

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Unavailable: canonical work link unavailable.

Observation 0661799e-53a7-4e50-ada2-924e0abd279d · outbound

This paper cites Practical blind membership inference attack via differential comparisons,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Practical blind membership inference attack via differential comparisons,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:46.445516Z

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Unavailable: canonical work link unavailable.

Observation 0c131947-99c7-488b-8382-054659ebe5a4 · outbound

This paper cites Comprehensive privacy analysis of deep learning: Passive and active white-box inference attacks against centralized and federated learning,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Comprehensive privacy analysis of deep learning: Passive and active white-box inference attacks against centralized and federated learning,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:46.521769Z

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Unavailable: canonical work link unavailable.

Observation 522ac8e6-cbbd-4d49-a4d9-75f9d7764499 · outbound

This paper cites Memguard: Defending against black-box membership inference attacks via adversarial examples,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Memguard: Defending against black-box membership inference attacks via adversarial examples,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:46.599547Z

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Observation 8cba450f-6832-48fd-befc-41e25cde641c · outbound

This paper cites Defending Model Inversion and Membership Inference Attacks via Prediction Purification.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Defending Model Inversion and Membership Inference Attacks via Prediction Purification

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:46.661861Z

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Unavailable: canonical work link unavailable.

Observation a76043e3-ec1f-45bd-bc88-6057ca396fc6 · outbound

This paper cites Deep learning with differential privacy,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Deep learning with differential privacy,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:46.773916Z

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Observation a84801f8-72db-4904-88a7-fea1fc6773b1 · outbound

This paper cites Dropout: a simple way to prevent neural networks from overfitting,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Dropout: a simple way to prevent neural networks from overfitting,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:46.889981Z

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Unavailable: canonical work link unavailable.

Observation 93f9709b-8b33-42c3-87d9-63a5e0cbb444 · outbound

This paper cites Low-cost high-power membership inference attacks,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Low-cost high-power membership inference attacks,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:46.998312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42f4daff-5c49-4577-8783-97d08928e89a · outbound

This paper cites Do Membership Inference Attacks Work on Large Language Models?.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Do Membership Inference Attacks Work on Large Language Models?

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:47.078915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 201db473-f1dd-4dbd-838e-82b3dafecce1 · outbound

This paper cites Quantifying privacy risks of masked language models using membership inference attacks,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Quantifying privacy risks of masked language models using membership inference attacks,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:47.217591Z

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Unavailable: canonical work link unavailable.

Observation 4f21cd3d-eaff-45d6-a15b-70132c4e3f29 · outbound

This paper cites Membership inference attacks against language models via neighbourhood comparison,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Membership inference attacks against language models via neighbourhood comparison,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:47.342547Z

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Unavailable: canonical work link unavailable.

Observation b01041dc-9b2e-4242-8d5c-e01053fe157f · outbound

This paper cites Please Tell Me More: Privacy Impact of Explainability through the Lens of Membership Inference Attack ,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Please Tell Me More: Privacy Impact of Explainability through the Lens of Membership Inference Attack ,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:47.446301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eaa8328-ce62-41c0-adbb-5854d03f3fdc · outbound

This paper cites Enhanced membership inference attacks against machine learning models,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Enhanced membership inference attacks against machine learning models,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:47.538964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb3d8445-383c-46e0-86a3-45ce8cc0445d · outbound

This paper cites Membership inference attacks from first principles,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Membership inference attacks from first principles,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:47.643031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64693ebe-07a8-462d-b831-27b4afaf312f · outbound

This paper cites Label-only membership inference attacks,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Label-only membership inference attacks,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:47.767552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9155baf-720d-4bc2-ae6c-83c8e7fec025 · outbound

This paper cites Membership leakage in label-only exposures,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Membership leakage in label-only exposures,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:47.850972Z

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Unavailable: canonical work link unavailable.

Observation aab8e15c-5a8d-4862-b83d-12410efa7c46 · outbound

This paper cites Privacy risk in machine learning: Analyzing the connection to overfitting,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Privacy risk in machine learning: Analyzing the connection to overfitting,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:47.929043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9309ac3-43da-429d-9b3b-792283436945 · outbound

This paper cites Stealing machine learning models via prediction apis,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Stealing machine learning models via prediction apis,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:48.003905Z

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Unavailable: canonical work link unavailable.

Observation 71bbad5b-1424-4761-a9ab-d6bc80192ca0 · outbound

This paper cites Knockoff nets: Stealing functionality of black-box models,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Knockoff nets: Stealing functionality of black-box models,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:48.079095Z

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Observation 717902f3-aa40-4954-8e79-20b58dddb938 · outbound

This paper cites PRADA: protecting against DNN model stealing attacks,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings PRADA: protecting against DNN model stealing attacks,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:48.162394Z

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Unavailable: canonical work link unavailable.

Observation d79796f9-d090-4a78-80ed-5ae0f3853b6a · outbound

This paper cites Practical black-box attacks against machine learning,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Practical black-box attacks against machine learning,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:48.255726Z

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Unavailable: canonical work link unavailable.

Observation 7a3c7ac0-0d57-4897-9797-ecd079deafc8 · outbound

This paper cites High accuracy and high fidelity extraction of neural networks,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings High accuracy and high fidelity extraction of neural networks,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:48.334749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ada4d62-048f-4687-882f-692ac0efa725 · outbound

This paper cites Data-free model extraction,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Data-free model extraction,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:48.384744Z

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Observation 9ca441d8-ffac-4b6d-bea5-1924a93a8f09 · outbound

This paper cites Thieves on sesame street! model extraction of bert-based apis,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Thieves on sesame street! model extraction of bert-based apis,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:48.484747Z

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Unavailable: canonical work link unavailable.

Observation e9372b4a-ea64-4fe3-b998-6df446be2468 · outbound

This paper cites Marich: A query-efficient distributionally equivalent model extraction attack,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Marich: A query-efficient distributionally equivalent model extraction attack,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:48.594747Z

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Observation cf9d8dbe-dbce-48a6-bbc9-ce495ad03229 · outbound

This paper cites AUTOLYCUS: exploiting explainable artificial intelligence (XAI) for model extraction attacks against interpretable models,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings AUTOLYCUS: exploiting explainable artificial intelligence (XAI) for model extraction attacks against interpretable models,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:48.760537Z

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Unavailable: canonical work link unavailable.

Observation 3abb503e-3e55-4c4f-95cb-7c09fbe6df78 · outbound

This paper cites Transferability in machine learning: from phenomena to black-box attacks using adversarial samples,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Transferability in machine learning: from phenomena to black-box attacks using adversarial samples,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:48.842225Z

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Unavailable: canonical work link unavailable.

Observation 6c3729d8-bf0e-4e58-94af-6fa5d8d75337 · outbound

This paper cites Delving into transferable adversarial examples and black-box attacks,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Delving into transferable adversarial examples and black-box attacks,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:48.917355Z

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Unavailable: canonical work link unavailable.

Observation 3fde08ee-5e3e-4350-aec0-adeae5bac392 · outbound

This paper cites Cross-domain transferability of adversarial perturbations,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Cross-domain transferability of adversarial perturbations,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:48.986921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f61897d-a83a-4c16-93f0-538d6c3c410e · outbound

This paper cites Why do adversarial attacks transfer? explaining transferability of evasion and poisoning attacks,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Why do adversarial attacks transfer? explaining transferability of evasion and poisoning attacks,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:49.094752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55bf247e-dc27-413e-9cd9-8279ebef8668 · outbound

This paper cites Feature selection, l1 vs. l2 regularization, and rotational invariance,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Feature selection, l1 vs. l2 regularization, and rotational invariance,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:49.152644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72f84d1e-db54-4b3a-92bd-bc2137dd37a8 · outbound

This paper cites A simple weight decay can improve generalization,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings A simple weight decay can improve generalization,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:49.247130Z

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Unavailable: canonical work link unavailable.

Observation 2d80519a-649f-4da5-b98d-13a9f2f2323b · outbound

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

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Adam: A method for stochastic optimization,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:49.292420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11787e36-2d05-452d-8ca6-5a594f258595 · outbound

This paper cites Decoupled weight decay regularization,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Decoupled weight decay regularization,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:49.407299Z

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Unavailable: canonical work link unavailable.

Observation e90e2752-f215-4cc5-905a-c336d97abfeb · outbound

This paper cites Adversarial robustness toolbox v1.0.0,.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Adversarial robustness toolbox v1.0.0,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:49.514513Z

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Pith citing papers

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