Paper Citation Record · LEDGER

Synthetic Data Privacy Metrics

As of 11 August 2026, this Paper Citation Record lists 100 of 105 outbound references and 4 inbound Pith citation observations for arXiv:2501.03941.

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

pith.paper-citation-record.v1
2501.03941 v1

Coverage vector

measured 100 of 105 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:47:30.100207Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:42:45.302583Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T05:05:57.402476Z

Reference resolution

100 of 105 outbound references displayed

verified exact1
verified fuzzy52
unresolved47
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0578afac-0faf-4bfa-89a2-89049b483e7b · outbound

This paper cites What is synthetic data? https://blogs.nvidia.com/blog/ what-is-synthetic-data/ , 2021.

Synthetic Data Privacy Metrics What is synthetic data? https://blogs.nvidia.com/blog/ what-is-synthetic-data/ , 2021

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.725019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53db1f9d-a4e2-4320-b733-a8d9dc66c1cb · outbound

This paper cites The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks.

Synthetic Data Privacy Metrics The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.729806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac0cd565-403d-451f-8ed2-353b6aed3102 · outbound

This paper cites Performing co-membership attacks against deep generative models.

Synthetic Data Privacy Metrics Performing co-membership attacks against deep generative models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.734201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b4a4278-c7b8-4545-8c49-6f3282269ba8 · outbound

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

Synthetic Data Privacy Metrics Monte carlo and reconstruction membership inference attacks against generative models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.738098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 998ab3a3-b5ae-49f9-ae3d-bf413dc72182 · outbound

This paper cites privgan: Protecting gans from membership inference attacks at low cost to utility.

Synthetic Data Privacy Metrics privgan: Protecting gans from membership inference attacks at low cost to utility

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.741832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5e541b5-d530-427f-ab7b-044d5f32c9f9 · outbound

This paper cites LOGAN: Membership Inference Attacks Against Generative Models.

Synthetic Data Privacy Metrics LOGAN: Membership Inference Attacks Against Generative Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.745451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c077884-b0e3-4b55-a854-7df091422b1e · outbound

This paper cites Gan-leaks: A taxonomy of membership inference attacks against generative models.

Synthetic Data Privacy Metrics Gan-leaks: A taxonomy of membership inference attacks against generative models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.749510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddee1c0c-43bb-4613-ab8e-465c4e34b82f · outbound

This paper cites Synthetic tab- ular data evaluation in the health domain covering resemblance, utility, and privacy dimensions.

Synthetic Data Privacy Metrics Synthetic tab- ular data evaluation in the health domain covering resemblance, utility, and privacy dimensions

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.752762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9db704e-f4d6-4d45-a4df-1499201581bd · outbound

This paper cites A multifaceted benchmarking of synthetic electronic health record generation models.

Synthetic Data Privacy Metrics A multifaceted benchmarking of synthetic electronic health record generation models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.756127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0587d92d-bb75-4012-a1ee-8748691b72f2 · outbound

This paper cites Generation and evaluation of synthetic patient data.BMC medical research methodology, 20:1–40, 2020.

Synthetic Data Privacy Metrics Generation and evaluation of synthetic patient data.BMC medical research methodology, 20:1–40, 2020

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.759316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c9eaa26-d72f-48a5-a4d1-cca99a2ac337 · outbound

This paper cites Protecting privacy when disclosing information: k-anonymity and its enforcement through generalization and suppression.

Synthetic Data Privacy Metrics Protecting privacy when disclosing information: k-anonymity and its enforcement through generalization and suppression

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.762698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a56c42e5-6f49-4619-80d2-f7b57e27854f · outbound

This paper cites Finding a needle in a haystack.

Synthetic Data Privacy Metrics Finding a needle in a haystack

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.766069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fde4b5d7-374c-4007-b4ca-28153444d93f · outbound

This paper cites t-closeness: Privacy beyond k-anonymity and l-diversity.

Synthetic Data Privacy Metrics t-closeness: Privacy beyond k-anonymity and l-diversity

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.769916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85c097da-3d75-4e34-9837-044e1cb51307 · outbound

This paper cites Revisiting the uniqueness of simple demographics in the us population.

Synthetic Data Privacy Metrics Revisiting the uniqueness of simple demographics in the us population

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.773677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 196626e8-e823-4d7f-bd94-ece62cee2325 · outbound

This paper cites Aggarwal.

Synthetic Data Privacy Metrics Aggarwal

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.777150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 082f955d-d0ee-4741-8834-23faff1dce3e · outbound

This paper cites Analyzing leakage of personally identifiable information in language models, 2023.

Synthetic Data Privacy Metrics Analyzing leakage of personally identifiable information in language models, 2023

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.780865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f3f1006-7833-42cc-bfb2-57c3fb7b695f · outbound

This paper cites Extracting training data from large language models.

Synthetic Data Privacy Metrics Extracting training data from large language models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.784408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ef5c133-0983-4d29-8c91-f4be18b49d37 · outbound

This paper cites Madisetti.

Synthetic Data Privacy Metrics Madisetti

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.787881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 595ac30e-9718-4075-a9da-018051197b20 · outbound

This paper cites A study on extracting named entities from fine-tuned vs.

Synthetic Data Privacy Metrics A study on extracting named entities from fine-tuned vs

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.791374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd1f51c8-456a-40ff-b04a-44ba2e1394bd · outbound

This paper cites Introducing gretel’s transform v2, January 2024.

Synthetic Data Privacy Metrics Introducing gretel’s transform v2, January 2024

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.795183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58635127-85d4-4ec7-8add-fd2b14fdd76c · outbound

This paper cites Truly anonymous synthetic data – evolving legal definitions and technologies (part ii)., November 2020.

Synthetic Data Privacy Metrics Truly anonymous synthetic data – evolving legal definitions and technologies (part ii)., November 2020

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.799136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d39bda7a-1f0f-4903-9cab-ccb34b814e61 · outbound

This paper cites Fidelity and Privacy of Synthetic Medical Data.

Synthetic Data Privacy Metrics Fidelity and Privacy of Synthetic Medical Data

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.803008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce75e1a8-a785-4062-8907-da1fdec1200e · outbound

This paper cites Synthetic data quality metrics, 2023.

Synthetic Data Privacy Metrics Synthetic data quality metrics, 2023

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.807092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40c05367-c004-4f25-b6d1-0b0338c071a9 · outbound

This paper cites How to evaluate the quality of the synthetic data – measuring from the perspective of fidelity, utility, and privacy, December 2022.

Synthetic Data Privacy Metrics How to evaluate the quality of the synthetic data – measuring from the perspective of fidelity, utility, and privacy, December 2022

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.810775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 034e53e4-79f5-4eba-afcd-8e97503a05da · outbound

This paper cites Outlier protection in continuous microdata masking.

Synthetic Data Privacy Metrics Outlier protection in continuous microdata masking

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.814678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ad44701-3fc0-47a8-9f3f-2108184bb86d · outbound

This paper cites Maintaining data relationships in structural generation output, March 2024.

Synthetic Data Privacy Metrics Maintaining data relationships in structural generation output, March 2024

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.818434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62be0c9e-4500-4a92-b3b4-1a8fa6e46134 · outbound

This paper cites an unresolved cited work.

Synthetic Data Privacy Metrics Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.822038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9997dbf-c8c8-4cef-8f63-0f440a34db86 · outbound

This paper cites The curse of recursion: Training on generated data makes models forget, 2024.

Synthetic Data Privacy Metrics The curse of recursion: Training on generated data makes models forget, 2024

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.825653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71586f37-c869-478a-b625-eca183089e60 · outbound

This paper cites Hazy privacy: Distance to closest record, 2023.

Synthetic Data Privacy Metrics Hazy privacy: Distance to closest record, 2023

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:31.079880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c66dda8d-9a81-4107-9400-015b4143b9cd · outbound

This paper cites Tabddpm: Mod- elling tabular data with diffusion models, 2022.

Synthetic Data Privacy Metrics Tabddpm: Mod- elling tabular data with diffusion models, 2022

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:31.069843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 77cd3ada-740b-4e90-adac-27e7085ba231 · outbound

This paper cites Mixed-type tabular data synthesis with score-based diffusion in latent space.

Synthetic Data Privacy Metrics Mixed-type tabular data synthesis with score-based diffusion in latent space

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:31.059231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 20eb5bc5-db31-4d7f-8238-3d5b28c2bd5c · outbound

This paper cites Guillaudeux, O.

Synthetic Data Privacy Metrics Guillaudeux, O

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:31.048145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9a33be52-0e55-4f5f-bfe9-8a3ba516e14d · outbound

This paper cites an unresolved cited work.

Synthetic Data Privacy Metrics Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:47:31.036409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f38a7c40-397b-41e7-9113-42e74ada7d24 · outbound

This paper cites Data synthesis based on generative adversarial networks.Proc.

Synthetic Data Privacy Metrics Data synthesis based on generative adversarial networks.Proc

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:31.024778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 723c1ece-6352-44c7-b04c-c7dcda66496e · outbound

This paper cites an unresolved cited work.

Synthetic Data Privacy Metrics Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:47:31.013481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0fa46cdd-42b2-42ff-944e-9c495d423873 · outbound

This paper cites an unresolved cited work.

Synthetic Data Privacy Metrics Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:47:31.001505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 39e17d5a-7e0b-45ca-bd18-1e500e756806 · outbound

This paper cites Gunter, and Kai Chen.

Synthetic Data Privacy Metrics Gunter, and Kai Chen

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.990168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cba448cc-8d9d-435a-a828-eae7e5c8b600 · outbound

This paper cites Achilles’ Heels: Vulnerable Record Identification in Synthetic Data Publishing, page 380–399.

Synthetic Data Privacy Metrics Achilles’ Heels: Vulnerable Record Identification in Synthetic Data Publishing, page 380–399

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.978917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f485fe10-630e-428b-b7ea-043c5a917c03 · outbound

This paper cites The privacy onion effect: Memorization is relative.

Synthetic Data Privacy Metrics The privacy onion effect: Memorization is relative

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.967853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c3105d05-bc02-443f-8774-bcd466ef28ae · outbound

This paper cites Patient- centric synthetic data generation, no reason to risk re-identification in biomedical data analysis.

Synthetic Data Privacy Metrics Patient- centric synthetic data generation, no reason to risk re-identification in biomedical data analysis

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.956786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6d07589d-6bc2-4147-a109-41278518ae59 · outbound

This paper cites Scaling while privacy preserving: A comprehensive synthetic tabular data generation and evaluation in learning analytics.

Synthetic Data Privacy Metrics Scaling while privacy preserving: A comprehensive synthetic tabular data generation and evaluation in learning analytics

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.945363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 25110d66-05dd-473a-a60d-e1531c96fa89 · outbound

This paper cites Virtualdatalab: A python library for measuring the quality of your synthetic sequential dataset.

Synthetic Data Privacy Metrics Virtualdatalab: A python library for measuring the quality of your synthetic sequential dataset

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.934069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation df276675-8a30-4cc1-84ee-a79405664e6a · outbound

This paper cites an unresolved cited work.

Synthetic Data Privacy Metrics Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:47:30.922758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5ecb5f38-720a-493a-8314-5c5c4266e5a4 · outbound

This paper cites an unresolved cited work.

Synthetic Data Privacy Metrics Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:47:30.912695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d6bca0d6-0ad8-4242-ad39-d8741f4e2794 · outbound

This paper cites Membership inference attacks against machine learning models.

Synthetic Data Privacy Metrics Membership inference attacks against machine learning models

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.903096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1b518e88-cc8d-402c-9038-08f56f9187b0 · outbound

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

Synthetic Data Privacy Metrics Privacy risk in machine learning: Analyzing the connection to overfitting

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.892465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f266e46b-e491-4746-8222-0018042e4c3e · outbound

This paper cites Marshall, Severin Elvatun, Helga M.B.

Synthetic Data Privacy Metrics Marshall, Severin Elvatun, Helga M.B

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.881218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0937b966-0be7-4412-90c9-246b0829ffce · outbound

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

Synthetic Data Privacy Metrics Ml-leaks: Model and data independent membership inference attacks and defenses on machine learning models

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.870097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation de5b806c-487e-4b7d-9c63-9ff7922beaf2 · outbound

This paper cites Choquette-Choo, Florian Tramer, Nicholas Carlini, and Nicolas Papernot.

Synthetic Data Privacy Metrics Choquette-Choo, Florian Tramer, Nicholas Carlini, and Nicolas Papernot

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.859013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d0301173-5ca8-46d0-9151-7d4c9bb0d410 · outbound

This paper cites Segmentations-leak: Membership inference attacks and defenses in semantic image segmentation.

Synthetic Data Privacy Metrics Segmentations-leak: Membership inference attacks and defenses in semantic image segmentation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.847700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fe96fa4e-6c93-4d58-8595-03f88fe4537f · outbound

This paper cites Evaluating differentially private machine learning in practice.

Synthetic Data Privacy Metrics Evaluating differentially private machine learning in practice

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.836206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8ef9df8d-d562-4437-85cc-664f5bad4377 · outbound

This paper cites Membership leakage in label-only exposures.

Synthetic Data Privacy Metrics Membership leakage in label-only exposures

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.822021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cfa3ab25-2d60-492e-b83b-3522e8865ec9 · outbound

This paper cites Towards reverse-engineering black-box neural networks.

Synthetic Data Privacy Metrics Towards reverse-engineering black-box neural networks

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.809524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c75ea0ce-7748-458b-9757-10b0f0f17f87 · outbound

This paper cites Membership inference attack against differentially private deep learning model.Trans.

Synthetic Data Privacy Metrics Membership inference attack against differentially private deep learning model.Trans

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.797115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e70fd0c6-6d9e-446e-a652-484f545f22df · outbound

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

Synthetic Data Privacy Metrics White-box vs black-box: Bayes optimal strategies for membership inference

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.785263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bcfcda0c-31a4-42d7-95b7-b1902d3b0850 · outbound

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

Synthetic Data Privacy Metrics Demystifying membership inference attacks in machine learning as a service

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.772470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5c1bcede-ba4b-44ec-93fd-8043af92a4b7 · outbound

This paper cites Synthetic data–anonymisation groundhog day.

Synthetic Data Privacy Metrics Synthetic data–anonymisation groundhog day

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.763185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9d7df4c4-fd07-4ecb-963f-2eb6a658181e · outbound

This paper cites Membership inference attacks from first principles.

Synthetic Data Privacy Metrics Membership inference attacks from first principles

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.752686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 58b7bd58-2873-46aa-a055-ccd0136aa748 · outbound

This paper cites Mattern, F.

Synthetic Data Privacy Metrics Mattern, F

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.742606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5e184011-9d21-4107-ab91-d101a9829d55 · outbound

This paper cites Evans, and Quanquan Gu.

Synthetic Data Privacy Metrics Evans, and Quanquan Gu

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.731384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d1e9e7e1-0324-4348-bdba-a66c50c807e4 · outbound

This paper cites On the importance of difficulty calibration in membership inference attacks.

Synthetic Data Privacy Metrics On the importance of difficulty calibration in membership inference attacks

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.719853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 255085ff-f9c1-414e-b7b8-8834de741fca · outbound

This paper cites Validating a membership disclosure metric for synthetic health data.

Synthetic Data Privacy Metrics Validating a membership disclosure metric for synthetic health data

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.707616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a3cc98df-646a-4322-a178-008f9389e75e · outbound

This paper cites Generating synthetic mixed- type longitudinal electronic health records for artificial intelligent applications.

Synthetic Data Privacy Metrics Generating synthetic mixed- type longitudinal electronic health records for artificial intelligent applications

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.695151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 86527b1e-b52b-4c68-ab94-eb51da9be43b · outbound

This paper cites Ehr-safe: generating high-fidelity and privacy-preserving synthetic electronic health records.

Synthetic Data Privacy Metrics Ehr-safe: generating high-fidelity and privacy-preserving synthetic electronic health records

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.678296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bced3e16-89f9-4910-acdf-85f7a586ad44 · outbound

This paper cites Gretel’s new data privacy score.

Synthetic Data Privacy Metrics Gretel’s new data privacy score

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.665873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0f2ee19f-f896-4119-b94b-12bfc5be3ade · outbound

This paper cites Detecting Pretraining Data from Large Language Models.

Synthetic Data Privacy Metrics Detecting Pretraining Data from Large Language Models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.965306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4db44aa3-ff94-4d44-902b-ac848d71fa4e · outbound

This paper cites Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models.

Synthetic Data Privacy Metrics Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.968777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 022aeb95-bd65-4a1b-afd2-1e324709ad8a · outbound

This paper cites Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks.

Synthetic Data Privacy Metrics Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.972326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccbb3a25-3287-4493-acd0-088bf81cea27 · outbound

This paper cites User Inference Attacks on Large Language Models.

Synthetic Data Privacy Metrics User Inference Attacks on Large Language Models

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.976387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f615069-7971-42bd-a83f-ccbb2c772383 · outbound

This paper cites On the privacy risk of in-context learning.

Synthetic Data Privacy Metrics On the privacy risk of in-context learning

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.652965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 191a7384-4aef-4b4b-8eac-8805e7af73c7 · outbound

This paper cites Ensuring electronic medical record simulation through better training, modeling, and evaluation.

Synthetic Data Privacy Metrics Ensuring electronic medical record simulation through better training, modeling, and evaluation

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.641437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d410221a-5106-4795-976f-51bb3e013237 · outbound

This paper cites Generating electronic health records with multiple data types and constraints.

Synthetic Data Privacy Metrics Generating electronic health records with multiple data types and constraints

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.629409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5d0d579b-c086-4e18-9c39-07762a116357 · outbound

This paper cites TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data.

Synthetic Data Privacy Metrics TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:29.991422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05b954a9-8452-4483-97e6-5b763379aa6e · outbound

This paper cites Membership inference attacks against synthetic health data.

Synthetic Data Privacy Metrics Membership inference attacks against synthetic health data

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.617732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7da028a0-7323-4f2b-a2fe-d5d7eddb9525 · outbound

This paper cites Application of bayesian networks to generate synthetic health data.

Synthetic Data Privacy Metrics Application of bayesian networks to generate synthetic health data

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.604769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7f7e8baf-fd56-43c9-a56d-455eaea573a9 · outbound

This paper cites Generating multi-label discrete patient records using generative adversarial networks.

Synthetic Data Privacy Metrics Generating multi-label discrete patient records using generative adversarial networks

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:30.004495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0a48190-668f-4f26-b103-3c5a908f1640 · outbound

This paper cites Ghosheh, Jin Li, and Tingting Zhu.

Synthetic Data Privacy Metrics Ghosheh, Jin Li, and Tingting Zhu

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.585838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e6ec931a-6681-4a88-933a-4f9dd22b57ab · outbound

This paper cites A linear reconstruction approach for attribute inference attacks against synthetic data.

Synthetic Data Privacy Metrics A linear reconstruction approach for attribute inference attacks against synthetic data

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.574591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 35387088-344c-4cac-a1ec-8b5421ec82ed · outbound

This paper cites Evaluating identity disclosure risk in fully synthetic health data: Model development and validation.

Synthetic Data Privacy Metrics Evaluating identity disclosure risk in fully synthetic health data: Model development and validation

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.563046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6dcfc50c-1e65-45b3-b655-4741d7d29c86 · outbound

This paper cites Pérez, Marten van Dijk, and Lydia Y.

Synthetic Data Privacy Metrics Pérez, Marten van Dijk, and Lydia Y

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.551600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5c8efbe5-4ae2-41f0-a8a2-8a8481ba163a · outbound

This paper cites an unresolved cited work.

Synthetic Data Privacy Metrics Unresolved cited work

Reference 82

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:47:30.540026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 926c628b-0a69-4b5b-939f-076c4eb2b88e · outbound

This paper cites Pate-gan: Generating synthetic data with differential privacy guarantees.

Synthetic Data Privacy Metrics Pate-gan: Generating synthetic data with differential privacy guarantees

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.527092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dd7c1f55-b35d-4e4c-93a2-a443d9981241 · outbound

This paper cites A simple recipe for private synthetic data generation.

Synthetic Data Privacy Metrics A simple recipe for private synthetic data generation

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.514743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation baf544b6-4dc2-437c-b340-9f186b93574e · outbound

This paper cites Auditing differentially private machine learning: How private is private sgd? Advances in Neural Information Processing Systems, 33:22205–22216, 2020.

Synthetic Data Privacy Metrics Auditing differentially private machine learning: How private is private sgd? Advances in Neural Information Processing Systems, 33:22205–22216, 2020

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:30.038247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1ff6ee7-c423-4547-9e1c-385ece880b41 · outbound

This paper cites Adversary instantiation: Lower bounds for differentially private machine learning.

Synthetic Data Privacy Metrics Adversary instantiation: Lower bounds for differentially private machine learning

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.494813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6c4b8979-312b-46d6-b35e-82b6f6afd24c · outbound

This paper cites Closed-Form Bounds for DP-SGD against Record-level Inference.

Synthetic Data Privacy Metrics Closed-Form Bounds for DP-SGD against Record-level Inference

Reference 87

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:47:30.201690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5e8a20b5-cc08-4d59-9afa-9f445d1aaa87 · outbound

This paper cites Privacy auditing with one (1) training run.

Synthetic Data Privacy Metrics Privacy auditing with one (1) training run

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:30.051172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da89a8d2-5bd3-4bdf-ba26-b3ceef645b64 · outbound

This paper cites Investigating membership inference attacks under data dependencies.

Synthetic Data Privacy Metrics Investigating membership inference attacks under data dependencies

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.474637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ea96d86a-30a8-45d1-883a-523bf27b42c7 · outbound

This paper cites an unresolved cited work.

Synthetic Data Privacy Metrics Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:47:30.461294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 16d498a1-ae0a-40d3-8807-448c1a55399b · outbound

This paper cites Detect and redact pii in free text with ner in transform v2.https://gretel.ai/ blog/detect-and-redact-pii-in-free-text-with-ner-in-transform-v2 , 2024.

Synthetic Data Privacy Metrics Detect and redact pii in free text with ner in transform v2.https://gretel.ai/ blog/detect-and-redact-pii-in-free-text-with-ner-in-transform-v2 , 2024

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.447984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation edad4e26-8261-4899-9023-846734b6c6b6 · outbound

This paper cites Introducing gretel’s transform v2.

Synthetic Data Privacy Metrics Introducing gretel’s transform v2

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.436043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 067befa4-7e8a-4621-ac69-d6ac0b98344a · outbound

This paper cites Introducing gretel’s privacy filters.

Synthetic Data Privacy Metrics Introducing gretel’s privacy filters

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.424165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e74316f8-30ad-4457-a771-117d3cef6852 · outbound

This paper cites Practical synthetic data generation: balancing privacy and the broad availability of data.

Synthetic Data Privacy Metrics Practical synthetic data generation: balancing privacy and the broad availability of data

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.411318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 24a5980c-3998-452b-a4df-497dfdaa18af · outbound

This paper cites Strict synthesis.

Synthetic Data Privacy Metrics Strict synthesis

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.397652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9c5dd5d7-1657-409d-a35b-f8cc67713288 · outbound

This paper cites Deduplicating training data mitigates privacy risks in language models.

Synthetic Data Privacy Metrics Deduplicating training data mitigates privacy risks in language models

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:30.083006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d21b3e2-2e99-4460-8ffd-282b8f3db0b2 · outbound

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

Synthetic Data Privacy Metrics Do Membership Inference Attacks Work on Large Language Models?

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:30.086668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0ab9426-77f0-400a-bd38-6fefeae4ffae · outbound

This paper cites Extracting training data from diffusion models.

Synthetic Data Privacy Metrics Extracting training data from diffusion models

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:30.090132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cde56d93-1048-47b1-8e5f-f48c2e70305b · outbound

This paper cites Quantifying memorization across neural language models.

Synthetic Data Privacy Metrics Quantifying memorization across neural language models

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:30.093382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd71d81c-364a-4a33-871e-94651e5b397f · outbound

This paper cites Deduplicating training data makes language models better.

Synthetic Data Privacy Metrics Deduplicating training data makes language models better

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.362057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1d5fb112-d7dc-4c0a-a798-78326d7c7b66 · outbound

This paper cites Privacy side channels in machine learning systems.

Synthetic Data Privacy Metrics Privacy side channels in machine learning systems

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:47:30.348038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 840aa235-c913-4982-92ea-de5f1b66ea74 · inbound

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

Privacy-Preserving Tabular Synthetic Data Generation Using TabularARGN Synthetic Data Privacy Metrics

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-05T22:42:45.302583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26040519-2d7c-4c8a-8ec8-a507ac447882 · inbound

Limited Reference, Reliable Generation: A Two-Component Framework for Tabular Data Generation in Low-Data Regimes cites this paper.

Limited Reference, Reliable Generation: A Two-Component Framework for Tabular Data Generation in Low-Data Regimes Synthetic Data Privacy Metrics

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T18:28:36.469157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d4c7217-6344-4de3-8978-197252499cc8 · inbound

Evaluating LLM Simulators as Differentially Private Data Generators cites this paper.

Evaluating LLM Simulators as Differentially Private Data Generators Synthetic Data Privacy Metrics

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:00:22.185269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2b5dd244-c14f-4874-8f07-ddcc31a6ff03 · inbound

On Privacy Leakage in Tabular Diffusion Models: Influential Factors, Attacker Knowledge, and Metrics cites this paper.

On Privacy Leakage in Tabular Diffusion Models: Influential Factors, Attacker Knowledge, and Metrics Synthetic Data Privacy Metrics

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:05:57.409563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.