ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators | Paper Citation Record

Observation a97f8118-585c-4ec5-a821-c3a6ecd69b9c · outbound

This paper cites On the fidelity versus privacy and utility trade-off of synthetic patient data.Iscience, 28(5), 2025.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators On the fidelity versus privacy and utility trade-off of synthetic patient data.Iscience, 28(5), 2025

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:44:01.331832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 86acd6ad-1268-45e1-a456-56053f870020 · outbound

This paper cites Aindo anonymize.https://github.com/aindo-com/aindo-anonymize, 2025.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Aindo anonymize.https://github.com/aindo-com/aindo-anonymize, 2025

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:44:01.360653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ea492eb3-3fe1-4cee-a412-6f31bc164d5f · outbound

This paper cites Resprosyn.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Resprosyn

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:34:00.309141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3908a7e7-3ae7-491e-8a79-d7a4c2e1ff61 · outbound

This paper cites Layer Normalization.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Layer Normalization

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:35:46.528721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0f8dca46-a850-4efd-b061-e40934bb6284 · outbound

This paper cites Becker, R.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Becker, R

Reference 5

Resolution: verified exact; doi, observed 2026-06-30T21:25:04.146399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 841af79f-7ea5-4694-be52-6a0a9b6dc8d9 · outbound

This paper cites Privacy and synthetic datasets.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Privacy and synthetic datasets

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:44:01.354780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a8d0168f-a922-4331-b5ee-c37330db8d58 · outbound

This paper cites The secret sharer: Evaluating and testing unintended memorization in neural networks.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators The secret sharer: Evaluating and testing unintended memorization in neural networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:34:02.449132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2e8186ec-d86c-4f86-885e-c225f1985a0a · outbound

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

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Gan-leaks: A taxonomy of member- ship inference attacks against generative models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:34:02.438443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c9e63453-9e93-40aa-8d2b-84734eeef776 · outbound

This paper cites Xgboost: extreme gradient boosting.R package version 0.4-2, 1(4):1–4.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Xgboost: extreme gradient boosting.R package version 0.4-2, 1(4):1–4

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:34:02.441416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5c60f923-7e8f-4830-b851-5bd82f7fa59e · outbound

This paper cites Block neural autoregressive flow.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Block neural autoregressive flow

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:34:02.462047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c4b2aa66-bab2-4c97-8df9-e82920c03317 · outbound

This paper cites Differential privacy.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Differential privacy

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:34:00.301470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 68b69d57-961c-4ed8-b9eb-76ee12679fb6 · outbound

This paper cites ISBN 978-3-540-35908-1.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators ISBN 978-3-540-35908-1

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:34:00.296667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a8717ec2-8bcf-43f5-8f8f-b51e6e07f0a9 · outbound

This paper cites Sigmoid-weighted linear units for neural network function approximation in reinforcement learning.Neural networks, 107:3–11.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Sigmoid-weighted linear units for neural network function approximation in reinforcement learning.Neural networks, 107:3–11

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:34:00.299641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 90630336-6c1e-4c8c-8889-f2aa53d914c3 · outbound

This paper cites A unified framework for quantifying privacy risk in synthetic data.Proceedings on Privacy Enhancing Technologies, 2023.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators A unified framework for quantifying privacy risk in synthetic data.Proceedings on Privacy Enhancing Technologies, 2023

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:44:01.345389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1d6e936e-c2d7-47f8-a8a2-2268b494595d · outbound

This paper cites Generative adversarial networks.Communications of the ACM, 63(11):139–144, 2020.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Generative adversarial networks.Communications of the ACM, 63(11):139–144, 2020

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:34:00.307360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b9c98d69-d016-4003-9b3a-e65e262629e3 · outbound

This paper cites Synthetic is all you need: removing the auxiliary data assumption for membership inference attacks against synthetic data.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Synthetic is all you need: removing the auxiliary data assumption for membership inference attacks against synthetic data

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:34:00.286411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ca7d69da-a82d-4066-b477-f2a56f878efe · outbound

This paper cites Logan: Membership inference attacks against generative models.Proceedings on Privacy Enhancing Technologies, 2019.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Logan: Membership inference attacks against generative models.Proceedings on Privacy Enhancing Technologies, 2019

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:34:00.288263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3fd6d146-bc9a-4c80-93ad-592b4bcb945e · outbound

This paper cites Synthetic data generation for tabular health records: A systematic review.Neurocomputing, 493:28–45.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Synthetic data generation for tabular health records: A systematic review.Neurocomputing, 493:28–45

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:34:00.290345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c507939e-dbe9-453a-9fa5-81acee85df32 · outbound

This paper cites Monte carlo and reconstruction membership inference attacks against generative models.Proceedings on Privacy Enhancing Technologies.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Monte carlo and reconstruction membership inference attacks against generative models.Proceedings on Privacy Enhancing Technologies

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:34:00.284360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 01f5ca9c-95e8-4741-a107-ad1b308025d9 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:34:00.292515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d9679ce2-9538-4d34-a1a8-9039405d3d38 · outbound

This paper cites Random decision forests.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Random decision forests

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:34:00.294287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 85aa95a1-ad09-4410-bacd-669ad214c73d · outbound

This paper cites Resolv- ing individuals contributing trace amounts of dna to highly complex mixtures using high-density snp genotyping microarrays.PLoS genetics, 4(8):e1000167, 2008.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Resolv- ing individuals contributing trace amounts of dna to highly complex mixtures using high-density snp genotyping microarrays.PLoS genetics, 4(8):e1000167, 2008

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:34:00.305448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 78fd8bd2-33ab-48d5-90f2-6a765186f5bb · outbound

This paper cites Tapas: a toolbox for adversarial privacy auditing of synthetic data.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Tapas: a toolbox for adversarial privacy auditing of synthetic data

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:44:01.326686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9c4a3e5f-5a89-41b4-8060-17dca5051a87 · outbound

This paper cites Membership inference attacks on machine learning: A survey.ACM Computing Surveys (CSUR), 54(11s):1–37.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Membership inference attacks on machine learning: A survey.ACM Computing Surveys (CSUR), 54(11s):1–37

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:44:01.347526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f5dbce16-86ff-4530-b6d2-6fdebb0e70b5 · outbound

This paper cites Pate-gan: Generating synthetic data with differential privacy guarantees.Generative Modelling for Supervised, Unsupervised and Private Learning, page 116.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Pate-gan: Generating synthetic data with differential privacy guarantees.Generative Modelling for Supervised, Unsupervised and Private Learning, page 116

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:44:01.357056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 07fce9da-0324-41a3-91c5-d085d368e7ef · outbound

This paper cites Synthetic Data -- what, why and how?.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Synthetic Data -- what, why and how?

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T14:35:46.528763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9c78e9b5-183e-44b2-8052-660aa2662f20 · outbound

This paper cites Kingma and Max Welling.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Kingma and Max Welling

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:44:01.343292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 40542014-bbf7-4146-889b-0f4837f074e4 · outbound

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

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Tabddpm: Mod- elling tabular data with diffusion models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:44:01.351295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9a494047-14e6-4c13-856a-011a066ebf94 · outbound

This paper cites Differentially private normal- izing flows for synthetic tabular data generation.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Differentially private normal- izing flows for synthetic tabular data generation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:44:01.353114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0007c09a-1e5b-4376-bf03-5b45356aead4 · outbound

This paper cites Decoupled Weight Decay Regularization.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Decoupled Weight Decay Regularization

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:35:46.526577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 52be29ea-dd27-44ba-a698-2b4cf6d00b52 · outbound

This paper cites Achilles’ heels: vulnerable record identification in synthetic data publishing.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Achilles’ heels: vulnerable record identification in synthetic data publishing

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:44:01.341352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f75807cc-be3e-4451-8b09-25a2d9d64870 · outbound

This paper cites synthpop: Bespoke creation of synthetic data in r.Journal of statistical software, 74:1–26, 2016.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators synthpop: Bespoke creation of synthetic data in r.Journal of statistical software, 74:1–26, 2016

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:44:01.349468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8b6ee45f-a2ef-447e-a3aa-0c0eb7c37c74 · outbound

This paper cites Census microdata teaching files, 2011.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Census microdata teaching files, 2011

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:44:01.358810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 64066e99-fdd6-46c0-84aa-5c83f57ee99a · outbound

This paper cites Sparse spatial autoregressions.Statistics & Probability Letters, 33(3):291–297, 1997.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Sparse spatial autoregressions.Statistics & Probability Letters, 33(3):291–297, 1997

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:44:01.339253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7375918c-413d-43df-9a8d-159716a4a181 · outbound

This paper cites Empirical Evaluation of Structured Synthetic Data Privacy Metrics: Novel experimental framework.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Empirical Evaluation of Structured Synthetic Data Privacy Metrics: Novel experimental framework

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:35:46.531450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 50e543bd-67c6-4564-9fa2-aa8cd0112905 · outbound

This paper cites Data synthesis based on generative adversarial networks.Proceedings of the VLDB Endowment, 11(10):1071–1083, 2018.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Data synthesis based on generative adversarial networks.Proceedings of the VLDB Endowment, 11(10):1071–1083, 2018

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:34:02.451558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5a6c7d1c-8bc4-4500-864d-f97bbf1df6ff · outbound

This paper cites The synthetic data vault.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators The synthetic data vault

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:34:02.453783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 502bf412-7fc6-4a02-ae0b-9ca0ce78b0fd · outbound

This paper cites Holdout-based empirical assessment of mixed-type synthetic data.Frontiers in big Data, 4:679939.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Holdout-based empirical assessment of mixed-type synthetic data.Frontiers in big Data, 4:679939

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:34:02.455864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5fc845a0-3225-48c8-ac62-c8b044c196eb · outbound

This paper cites Synthcity: facilitating innovative use cases of synthetic data in different data modalities.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Synthcity: facilitating innovative use cases of synthetic data in different data modalities

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:35:46.523671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2815f418-ae59-4916-b38b-8820359415e0 · outbound

This paper cites ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:35:46.520049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a0d75712-49a3-442b-9520-d795af1431d0 · outbound

This paper cites Membership inference attacks against machine learning models.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Membership inference attacks against machine learning models

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:34:02.460108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b85aeb76-086f-4ebc-8385-356dc8782ae2 · outbound

This paper cites General and specific utility measures for synthetic data.Journal of the Royal Statistical Society Series A: Statistics in Society, 181(3):663–688, 2018.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators General and specific utility measures for synthetic data.Journal of the Royal Statistical Society Series A: Statistics in Society, 181(3):663–688, 2018

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:34:02.464185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 65bbb92a-b1a6-4be4-b426-9a34939cad23 · outbound

This paper cites Synthetic data–anonymisation groundhog day.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Synthetic data–anonymisation groundhog day

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:34:02.445926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3d1d6710-8f88-4ff3-8606-179081cd271b · outbound

This paper cites Membership inference attacks against synthetic data through overfitting detection.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Membership inference attacks against synthetic data through overfitting detection

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:34:02.457947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 63423f8d-92d5-402f-a23c-2a93f4eca23b · outbound

This paper cites Adversarial random forests for density estimation and generative modeling.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Adversarial random forests for density estimation and generative modeling

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:34:02.443542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1e3dbc4c-4355-4849-9882-3acb1f61bb90 · outbound

This paper cites Modeling tabular data using conditional gan.Advances in neural information processing systems, 32.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Modeling tabular data using conditional gan.Advances in neural information processing systems, 32

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:44:01.329313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fee69f60-5b3a-4c27-87d8-ea2a98c90e08 · outbound

This paper cites The dcr delusion: measuring the privacy risk of synthetic data.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators The dcr delusion: measuring the privacy risk of synthetic data

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:44:01.334243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8f38d9a1-f2fe-4570-bc16-1f9f5317968e · outbound

This paper cites Anonymization through data synthesis using generative adversarial networks (ads-gan).IEEE journal of biomedical and health informatics, 24(8):2378–2388, 2020.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Anonymization through data synthesis using generative adversarial networks (ads-gan).IEEE journal of biomedical and health informatics, 24(8):2378–2388, 2020

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:44:01.336913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2862df84-ac73-4fc0-bb1c-bc4643a39f50 · outbound

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

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Mixed-type tabular data synthesis with score-based diffusion in latent space

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T17:34:02.466370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3b40fc09-4827-4e18-bbf4-3c444ae80b7b · outbound

This paper cites generated.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators generated

Reference 50

Resolution: malformed identifier; raw_fallback, observed 2026-07-07T17:44:01.322349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers