Paper Citation Record · LEDGER

Membership Inference Attacks against Synthetic Data through Overfitting Detection

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2302.12580.

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

pith.paper-citation-record.v1
2302.12580 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:06:21.007901Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T22:07:26.183601Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6fed3f3d-285f-4153-8a39-d9796778f7d0 · inbound

Can Synthetic Data be Fair and Private? A Comparative Study of Synthetic Data Generation and Fairness Algorithms cites this paper.

Can Synthetic Data be Fair and Private? A Comparative Study of Synthetic Data Generation and Fairness Algorithms Membership Inference Attacks against Synthetic Data through Overfitting Detection

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:12:39.000379Z

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.

Observation 2ebe6f42-10b3-410f-836f-62c257cdd118 · inbound

Synthetic Tabular Data: Methods, Attacks and Defenses cites this paper.

Synthetic Tabular Data: Methods, Attacks and Defenses Membership Inference Attacks against Synthetic Data through Overfitting Detection

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T06:06:21.007901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa465df5-6c71-41dc-944f-55f793bf1b8e · inbound

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation cites this paper.

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation Membership Inference Attacks against Synthetic Data through Overfitting Detection

Reference 113

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:17.211034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0821c50f-01a5-4628-9200-01f76986fc3a · inbound

Risk In Context: Benchmarking Privacy Leakage of Foundation Models in Synthetic Tabular Data Generation cites this paper.

Risk In Context: Benchmarking Privacy Leakage of Foundation Models in Synthetic Tabular Data Generation Membership Inference Attacks against Synthetic Data through Overfitting Detection

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T15:04:00.675421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3807bdc-53d9-471a-95f4-45ab95241879 · inbound

Privacy-Preserving Tabular Synthetic Data Generation Using TabularARGN cites this paper.

Privacy-Preserving Tabular Synthetic Data Generation Using TabularARGN Membership Inference Attacks against Synthetic Data through Overfitting Detection

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-05T22:42:45.315052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3158b0c4-1e6f-46ed-b8b9-299004df7abd · inbound

Ensembling Membership Inference Attacks Against Tabular Generative Models cites this paper.

Ensembling Membership Inference Attacks Against Tabular Generative Models Membership Inference Attacks against Synthetic Data through Overfitting Detection

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:59.794749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 400abf37-ac38-485c-86ee-e561e94aa509 · inbound

When Tables Leak: Attacking String Memorization in LLM-Based Tabular Data Generation cites this paper.

When Tables Leak: Attacking String Memorization in LLM-Based Tabular Data Generation Membership Inference Attacks against Synthetic Data through Overfitting Detection

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:48:41.868533Z

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.

Observation d9ff1dab-5d9d-497f-951d-c17e6a6d4eaf · inbound

A Dual Perspective on Synthetic Trajectory Generators: Utility Framework and Privacy Vulnerabilities cites this paper.

A Dual Perspective on Synthetic Trajectory Generators: Utility Framework and Privacy Vulnerabilities Membership Inference Attacks against Synthetic Data through Overfitting Detection

Reference 118

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:11:03.375900Z

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.

Observation 3c7d9fe0-352d-4bad-8c31-41938026ddbb · inbound

FERMI: Exploiting Relations for Membership Inference Against Tabular Diffusion Models cites this paper.

FERMI: Exploiting Relations for Membership Inference Against Tabular Diffusion Models Membership Inference Attacks against Synthetic Data through Overfitting Detection

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:22:01.498658Z

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.

Observation b029c857-375b-4e1b-8a33-a341b86a297d · inbound

SoK: Reconstruction Attacks on Synthetic Tabular Data (Insights from Winning the NIST CRC) cites this paper.

SoK: Reconstruction Attacks on Synthetic Tabular Data (Insights from Winning the NIST CRC) Membership Inference Attacks against Synthetic Data through Overfitting Detection

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:07:26.185623Z

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.