Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data | Paper Citation Record

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Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data write newline

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This paper cites J., McMahan, H.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data J., McMahan, H

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This paper cites M., He, T., Ijishakin, A., Drobnjak, I., Castro, D.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data M., He, T., Ijishakin, A., Drobnjak, I., Castro, D

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This paper cites The 2020 Census Disclosure Avoidance System TopDown Algorithm.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data The 2020 Census Disclosure Avoidance System TopDown Algorithm

Reference 4

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This paper cites M., Adams, T., Ashmead, R., Darais, D., Dey, S., Garfinkel, S.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data M., Adams, T., Ashmead, R., Darais, D., Dey, S., Garfinkel, S

Reference 5

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Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Unresolved cited work

Reference 6

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This paper cites M., Thakkar, O., and Thakurta, A.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data M., Thakkar, O., and Thakurta, A

Reference 7

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This paper cites Private prediction for large-scale synthetic text generation.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Private prediction for large-scale synthetic text generation

Reference 8

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This paper cites Claude API Documentation.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Claude API Documentation

Reference 9

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Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Unresolved cited work

Reference 10

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Observation 7f0d51af-8d66-45a4-88cc-1326cee4c846 · outbound

This paper cites Limits of private learning with access to public data.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Limits of private learning with access to public data

Reference 11

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This paper cites R., and Wu, Z.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data R., and Wu, Z

Reference 12

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This paper cites Learning from mixtures of private and public populations.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Learning from mixtures of private and public populations

Reference 13

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This paper cites L., Kamath, G., and Singhal, V.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data L., Kamath, G., and Singhal, V

Reference 14

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Observation 23af3e0c-1d52-48b2-97b0-e4c6f92b7d1d · outbound

This paper cites Private estimation with public data.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Private estimation with public data

Reference 15

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This paper cites P., Jankowiak, M., Obermeyer, F., Pradhan, N., Karaletsos, T., Singh, R., Szerlip, P.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data P., Jankowiak, M., Obermeyer, F., Pradhan, N., Karaletsos, T., Singh, R., Szerlip, P

Reference 16

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This paper cites Oracle-Efficient Differentially Private Learning with Public Data.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Oracle-Efficient Differentially Private Learning with Public Data

Reference 17

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This paper cites Elephants never forget: Memorization and learning of tabular data in large language models.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Elephants never forget: Memorization and learning of tabular data in large language models

Reference 18

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This paper cites Language models are realistic tabular data generators.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Language models are realistic tabular data generators

Reference 19

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Observation b8235bd6-ae75-4973-92b9-466652db90ad · outbound

This paper cites Differentially private bias-term fine-tuning of foundation models.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Differentially private bias-term fine-tuning of foundation models

Reference 20

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This paper cites E., Engler, A., Khitatrakun, S., Nunns, J.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data E., Engler, A., Khitatrakun, S., Nunns, J

Reference 21

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Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Unresolved cited work

Reference 22

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This paper cites Data synthesis via differentially private markov random field.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Data synthesis via differentially private markov random field

Reference 23

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Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data B., Song, D., Erlingsson, \' U ., Oprea, A., and Raffel, C

Reference 24

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This paper cites Quantifying memorization across neural language models.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Quantifying memorization across neural language models

Reference 25

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This paper cites Fine-Tuning with Differential Privacy Necessitates an Additional Hyperparameter Search.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Fine-Tuning with Differential Privacy Necessitates an Additional Hyperparameter Search

Reference 26

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Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Causal Evaluation of Language Models

Reference 27

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Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data and Guestrin, C

Reference 28

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This paper cites J., Khashabi, D., and Durme, B.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data J., Khashabi, D., and Durme, B

Reference 29

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Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data and Sarathy, J

Reference 30

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This paper cites Advancing Differential Privacy : Where We Are Now and Future Directions for Real - World Deployment.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Advancing Differential Privacy : Where We Are Now and Future Directions for Real - World Deployment

Reference 31

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This paper cites ATTAXONOMY: Unpacking Differential Privacy Guarantees Against Practical Adversaries.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data ATTAXONOMY: Unpacking Differential Privacy Guarantees Against Practical Adversaries

Reference 32

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Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Large Language Models are Effective Priors for Causal Graph Discovery

Reference 33

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This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 34

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This paper cites A list of real-world uses of differential privacy - T ed is writing things --- desfontain.es.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data A list of real-world uses of differential privacy - T ed is writing things --- desfontain.es

Reference 35

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Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data BERT: pre-training of deep bidirectional transformers for language understanding

Reference 36

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Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Generalization or memorization: Data contamination and trustworthy evaluation for large language models

Reference 37

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Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data N., and Vadhan, S

Reference 38

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Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Unresolved cited work

Reference 39

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This paper cites Multicriteria optimization, volume 491.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Multicriteria optimization, volume 491

Reference 40

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Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data and DeSalvo, K

Reference 41

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Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data O., Rossi, R

Reference 42

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Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data G., and Wang, L

Reference 43

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Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Submix: Practical Private Prediction for Large-Scale Language Models

Reference 44

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Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Mixed differential privacy in computer vision

Reference 45

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Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data and Surdeanu, M

Reference 46

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Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Revisiting deep learning models for tabular data

Reference 47

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Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data On embeddings for numerical features in tabular deep learning

Reference 48

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This paper cites Choosing Public Datasets for Private Machine Learning via Gradient Subspace Distance.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Choosing Public Datasets for Private Machine Learning via Gradient Subspace Distance

Reference 49

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Observation 2496ae6d-0f8d-4703-9cd1-bd0e7c58c925 · outbound

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Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data and Roysdon, P

Reference 50

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Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data J., and Schult, D

Reference 51

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Observation f91fb0f7-93de-477a-b6e5-c317b2b1d112 · outbound

This paper cites A simple and practical algorithm for differentially private data release.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data A simple and practical algorithm for differentially private data release

Reference 52

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Observation 6bbc6d3f-5d63-4d01-99e0-d2ef34b32a25 · outbound

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Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Unresolved cited work

Reference 53

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Observation b320bb4e-fd4c-4b29-9638-878f33227f7f · outbound

This paper cites T., Backurs, A., Yu, N., and Bian, J.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data T., Backurs, A., Yu, N., and Bian, J

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:19.949384Z

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Observation 21a8e141-8da0-45a6-8842-fd7320d15a27 · outbound

This paper cites an unresolved cited work.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:55:19.933834Z

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Observation 51181ef9-348f-4e59-b086-b0bb3e1c0d7a · outbound

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Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data and Canetti, R

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:19.917487Z

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Observation 27ff896a-2779-43d3-ac85-c05e739d5749 · outbound

This paper cites Disabilities survey - results - microdata.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Disabilities survey - results - microdata

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:19.901560Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7f1d64e0-0c7a-4cb2-bf10-b803f4b9f307 · outbound

This paper cites P., Song, D., Thakkar, O., Thakurta, A., and Wang, L.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data P., Song, D., Thakkar, O., Thakurta, A., and Wang, L

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:19.884716Z

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Observation 0bfaea62-9fdb-4999-818e-c5382defa941 · outbound

This paper cites OpenAI o1 System Card.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data OpenAI o1 System Card

Reference 59

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Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Unresolved cited work

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:18.134951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 569c26ec-d17e-41e6-a493-3125b4e62785 · outbound

This paper cites R., Rush, K., and Thakurta, A.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data R., Rush, K., and Thakurta, A

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:19.856582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ee32e698-02af-4766-8c34-24bba7a01773 · outbound

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

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Deduplicating training data mitigates privacy risks in language models

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:19.841227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f08ae7c8-626b-47a7-a949-eb96f7de9ca6 · outbound

This paper cites On the convergence of differentially-private fine-tuning: To linearly probe or to fully fine-tune? CoRR, abs/2402.18905, 2024.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data On the convergence of differentially-private fine-tuning: To linearly probe or to fully fine-tune? CoRR, abs/2402.18905, 2024

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:18.148900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dd97121-ceeb-4b8e-97cc-e8f015e75b92 · outbound

This paper cites H., Naseer, M., Hayat, M., Zamir, S.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data H., Naseer, M., Hayat, M., Zamir, S

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:19.825985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7a62bd82-f731-4bb5-aa19-3e5c75d3eb68 · outbound

This paper cites Causal Reasoning and Large Language Models: Opening a New Frontier for Causality.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:18.158421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dff20a9-18a4-4d03-b9c9-646dd2faf861 · outbound

This paper cites EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:18.163364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53d1b9f4-4d4a-44e4-a7e0-74e57c93eef7 · outbound

This paper cites Harnessing large-language models to generate private synthetic text.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Harnessing large-language models to generate private synthetic text

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:18.168118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1a9bd97-64f3-445f-a63c-002674359f51 · outbound

This paper cites Multi-Agent Causal Discovery Using Large Language Models.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Multi-Agent Causal Discovery Using Large Language Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:18.172981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6862394-1c7c-46b4-a591-5361fddf43b6 · outbound

This paper cites Workplace equity survey 2023, 2024.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Workplace equity survey 2023, 2024

Reference 69

Resolution: verified exact; doi, observed 2026-08-16T11:55:18.487021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c93d8438-2613-4247-bc84-947ae3016db4 · outbound

This paper cites u ttler, H., Lewis, M., Yih, W., Rockt \.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data u ttler, H., Lewis, M., Yih, W., Rockt \

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:19.811082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation abaa00be-bc32-429f-a67b-14b60c80ee48 · outbound

This paper cites R., and Wu, Z.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data R., and Wu, Z

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:19.795484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cd05df68-e52e-462c-9d61-6a8cca799c4a · outbound

This paper cites Iterative methods for private synthetic data: Unifying framework and new methods.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Iterative methods for private synthetic data: Unifying framework and new methods

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:19.777322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7a7693ad-45d0-4c58-9344-5c7027f96eb8 · outbound

This paper cites an unresolved cited work.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:55:19.761843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5f563b4a-3034-42c6-81fa-3219f3d8046e · outbound

This paper cites Causal Discovery with Language Models as Imperfect Experts.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Causal Discovery with Language Models as Imperfect Experts

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:18.201658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ff74ff2-ab3f-41fd-9b46-45fa7e8017cb · outbound

This paper cites Can large language models build causal graphs?.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Can large language models build causal graphs?

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:18.206713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff88ef89-46e3-470f-9e7e-ab57b09f216d · outbound

This paper cites Optimal differentially private model training with public data.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Optimal differentially private model training with public data

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:19.745530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6633fe5a-288d-445b-8615-3e8d6a7c2d1e · outbound

This paper cites TabPFGen -- Tabular Data Generation with TabPFN.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data TabPFGen -- Tabular Data Generation with TabPFN

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:18.216626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75fd95a0-be30-411d-903d-a3fa58597ab9 · outbound

This paper cites and Schwartz, R.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data and Schwartz, R

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:19.730188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d805af17-c5c2-462c-b87a-2d99e1b4170d · outbound

This paper cites Winning the NIST contest: A scalable and general approach to differentially private synthetic data.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Winning the NIST contest: A scalable and general approach to differentially private synthetic data

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:19.715133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 60c18621-0ad0-49da-9249-3527cc3b75c8 · outbound

This paper cites AIM: an adaptive and iterative mechanism for differentially private synthetic data.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data AIM: an adaptive and iterative mechanism for differentially private synthetic data

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:19.700230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c222f34b-4038-49b1-bab8-fe55869908fa · outbound

This paper cites Optimizing error of high-dimensional statistical queries under differential privacy.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Optimizing error of high-dimensional statistical queries under differential privacy

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:19.685329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ed13370d-ebfe-41a1-b280-c3ca107c428c · outbound

This paper cites and Talwar, K.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data and Talwar, K

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:19.669506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d5f1e13b-d668-403a-b4f9-717baeb3e071 · outbound

This paper cites Negotiating Privacy/Utility Trade-Offs under differential privacy.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Negotiating Privacy/Utility Trade-Offs under differential privacy

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:19.651205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 65a0578f-26e2-4ce8-83a2-8dda7e68a37c · outbound

This paper cites Transformers can do bayesian inference.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Transformers can do bayesian inference

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:19.635880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bee61799-2171-4450-a985-6135c9166458 · outbound

This paper cites Effectively using public data in privacy preserving machine learning.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Effectively using public data in privacy preserving machine learning

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:19.620945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b37c38b3-eac3-4fbf-a7b5-c09207b57a64 · outbound

This paper cites E., Funke, T., and Khosla, M.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data E., Funke, T., and Khosla, M

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:19.605587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 98ffd13e-ed94-472a-b231-652440023cf9 · outbound

This paper cites OpenAI API Documentation.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data OpenAI API Documentation

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:19.589781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3707e78a-a426-43fa-938b-75bec5b252c3 · outbound

This paper cites Humanity's Last Exam.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Humanity's Last Exam

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:18.270558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6c1d58b-93d2-4d4e-87d1-711221f26fea · outbound

This paper cites B., Vassilvitskii, S., Chien, S., and Thakurta, A.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data B., Vassilvitskii, S., Chien, S., and Thakurta, A

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:19.574299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8f0b2ea8-774f-49d2-993a-e5144dfb43ad · outbound

This paper cites To the cutoff.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data To the cutoff

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:19.559329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6577896d-1d7b-4270-9b3d-78017b8fc78e · outbound

This paper cites Differentially Private Synthetic Data: Applied Evaluations and Enhancements.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Differentially Private Synthetic Data: Applied Evaluations and Enhancements

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:18.285942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff3fd886-687d-40a1-80b5-241463a14b1f · outbound

This paper cites R., McKinnie, E., Rumezhak, T., Stadnik, A., Howe, B., and Stoyanovich, J.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data R., McKinnie, E., Rumezhak, T., Stadnik, A., Howe, B., and Stoyanovich, J

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:19.544815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eeec18c6-21c6-41cd-9d43-0c74a53d5bf7 · outbound

This paper cites Are Data Experts Buying into Differentially Private Synthetic Data? Gathering Community Perspectives.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Are Data Experts Buying into Differentially Private Synthetic Data? Gathering Community Perspectives

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:18.295502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bc39744-238d-4444-8e18-9c82ced496fb · outbound

This paper cites Differential Privacy Under Class Imbalance: Methods and Empirical Insights.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Differential Privacy Under Class Imbalance: Methods and Empirical Insights

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:18.300427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fedc4ee9-b8ae-4681-a449-c9de1881a512 · outbound

This paper cites Curated LLM: synergy of llms and data curation for tabular augmentation in low-data regimes.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Curated LLM: synergy of llms and data curation for tabular augmentation in low-data regimes

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:19.529496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation efaf3598-c0e3-49fd-b1d2-57f77f4d562a · outbound

This paper cites REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:18.309681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fe89c79-7a42-4715-b25d-eff1c45c0624 · outbound

This paper cites Workplace equity survey, 2020.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Workplace equity survey, 2020

Reference 97

Resolution: verified exact; doi, observed 2026-08-16T11:55:18.471691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c2176ada-52a1-4726-b4b7-d771bc3e2744 · outbound

This paper cites A Survey of Reasoning with Foundation Models.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data A Survey of Reasoning with Foundation Models

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:18.319399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 518ac048-c680-4b66-9261-a66a90a6dc41 · outbound

This paper cites Is API Access to LLMs Useful for Generating Private Synthetic Tabular Data?.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Is API Access to LLMs Useful for Generating Private Synthetic Tabular Data?

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:18.324376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 902abb99-cfd5-4b1e-8a64-4b8c086a4312 · outbound

This paper cites Benchmarking Differentially Private Synthetic Data Generation Algorithms.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Benchmarking Differentially Private Synthetic Data Generation Algorithms

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:18.329434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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