DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models | Paper Citation Record

Observation e5584dba-d02a-4cfc-9716-4fd7d52d0b67 · outbound

This paper cites In: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security

Reference 1

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Observation 1596bd46-7019-4916-a19a-961fa39597e6 · outbound

This paper cites Proceedings of the International Conference on Document Analysis and Recognition, ICDAR1, 883–888 (2017).

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Proceedings of the International Conference on Document Analysis and Recognition, ICDAR1, 883–888 (2017)

Reference 2

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Observation 878c9ea0-cbbb-413d-8d50-10481c17388e · outbound

This paper cites IEEE Secur.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models IEEE Secur

Reference 3

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This paper cites In: Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P., Vaughan, J.W.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P., Vaughan, J.W

Reference 4

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This paper cites In: Proceedings of the 3rd Workshop on Economics and Natural Language Processing, ECONLP.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Proceedings of the 3rd Workshop on Economics and Natural Language Processing, ECONLP

Reference 5

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DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Unresolved cited work

Reference 6

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Observation a98fcdcb-7fed-42c8-871b-e4503a009d4a · outbound

This paper cites In: Proc.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Proc

Reference 7

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Observation dff15603-bd1b-452e-bb71-4b1129a41bd3 · outbound

This paper cites In: 30th USENIX Security Symposium (USENIX Security 21).

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: 30th USENIX Security Symposium (USENIX Security 21)

Reference 8

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Observation 94e83b29-bc49-42eb-976c-b729a1f60b11 · outbound

This paper cites In: Larochelle, H., Ran- zato, M., Hadsell, R., Balcan, M., Lin, H.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Larochelle, H., Ran- zato, M., Hadsell, R., Balcan, M., Lin, H

Reference 9

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Observation 320fcfb2-9886-4ce9-8565-678df6f049ce · outbound

This paper cites In: Proc.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Proc

Reference 10

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This paper cites In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers).

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

Reference 11

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Observation b484227b-9576-44ac-96ff-f6e2909c0b73 · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Diffusion Models Beat GANs on Image Synthesis

Reference 12

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DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Unresolved cited work

Reference 13

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Observation 56f4c349-7bef-4f32-8407-1d4a13c0e1da · outbound

This paper cites In: International Conference on Learning Representations (2021), https://openreview.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: International Conference on Learning Representations (2021), https://openreview

Reference 14

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Observation 49934af0-63ca-4a45-9393-4898a3b450b7 · outbound

This paper cites Foundations and Trends R in Theoretical Computer Science9, 211–407 (2014).

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Foundations and Trends R in Theoretical Computer Science9, 211–407 (2014)

Reference 15

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Observation 5644ddf0-0378-4f9d-a46d-552b44fc30d6 · outbound

This paper cites In: Automata, Languages and Programming.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Automata, Languages and Programming

Reference 16

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DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Unresolved cited work

Reference 17

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Observation 8e7a9545-5525-428a-ad49-f952ec82e6cf · outbound

This paper cites In: Krzhizhanovskaya, V.V., Závodszky, G., Lees, M.H., Dongarra, J.J., Sloot, P.M.A., Brissos, S., Teixeira, J.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Krzhizhanovskaya, V.V., Závodszky, G., Lees, M.H., Dongarra, J.J., Sloot, P.M.A., Brissos, S., Teixeira, J

Reference 18

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Observation 0cd0cf28-b249-4393-bf63-fb151699f2ab · outbound

This paper cites Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text

Reference 19

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Observation 088a3dc9-8f79-4f45-9f19-333e26350873 · outbound

This paper cites In: Proc.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Proc

Reference 20

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Observation ccb58872-9a6e-4e63-a81f-b64db7d6de84 · outbound

This paper cites Differentially Private Diffusion Models Generate Useful Synthetic Images.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Differentially Private Diffusion Models Generate Useful Synthetic Images

Reference 21

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Observation 6702e226-21f4-4e76-965a-8a0f4778f91b · outbound

This paper cites IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection

Reference 22

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This paper cites In: Barney Smith, E.H., Liwicki, M., Peng, L.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Barney Smith, E.H., Liwicki, M., Peng, L

Reference 23

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This paper cites Transactions on Machine Learning Research (2023), https://openreview.net/forum?id=R6W7zkMz0P.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Transactions on Machine Learning Research (2023), https://openreview.net/forum?id=R6W7zkMz0P

Reference 24

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Observation c8a561e9-48ae-41e5-abea-1fd756572fc5 · outbound

This paper cites In: International Conference on Document Analysis and Recognition (ICDAR).

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: International Conference on Document Analysis and Recognition (ICDAR)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:51:57.218748Z

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Observation 33982f2b-3df3-4500-bd05-3c1b28701f99 · outbound

This paper cites 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:51:56.982056Z

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Observation 3c1f70a6-aeb0-4c93-b28c-37c2b2c2199f · outbound

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DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Unresolved cited work

Reference 27

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Observation 1b3f38e2-3f79-4139-9498-c6ef2390bc86 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Denoising Diffusion Probabilistic Models

Reference 28

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Observation 70852cec-18b9-458c-93b4-fd9875f891f8 · outbound

This paper cites Classifier-Free Diffusion Guidance.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Classifier-Free Diffusion Guidance

Reference 29

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This paper cites In: Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021

Reference 30

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Observation a482079f-117b-4eea-85d5-1dc86c130df2 · outbound

This paper cites Differentially Private Natural Language Models: Recent Advances and Future Directions.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Differentially Private Natural Language Models: Recent Advances and Future Directions

Reference 31

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Observation 8e7fe466-5e92-4a4e-8059-34af620b90bc · outbound

This paper cites In: Proceedings of the 30th ACM International Conference on Multimedia.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Proceedings of the 30th ACM International Conference on Multimedia

Reference 32

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Observation 57c7b4ad-18f9-4b3b-bdb2-3fe3f388e0d5 · outbound

This paper cites In: The Eleventh International Conference on Learning Representations (2023), https://openreview.net/forum?id=JmC_Tld3v-f.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: The Eleventh International Conference on Learning Representations (2023), https://openreview.net/forum?id=JmC_Tld3v-f

Reference 33

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Observation f2896d84-53b5-444f-b0a9-91bb6f73b80f · outbound

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DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Unresolved cited work

Reference 34

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Observation a46b212b-05cb-452f-acb5-d663cf2a429a · outbound

This paper cites In: Proceedings of the Annual Meeting of the Association for Computational Linguistics.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Proceedings of the Annual Meeting of the Association for Computational Linguistics

Reference 35

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Observation 2102f14f-2367-4153-bada-44534e3d98a7 · outbound

This paper cites In: Proceedings of the 30th ACM International Conference on Multimedia.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Proceedings of the 30th ACM International Conference on Multimedia

Reference 36

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This paper cites In: International Conference on Learning Represen- tations (2022), https://openreview.net/forum?id=bVuP3ltATMz.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: International Conference on Learning Represen- tations (2022), https://openreview.net/forum?id=bVuP3ltATMz

Reference 37

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Observation 2a4b5c3b-d278-4536-8786-9925dfc0323a · outbound

This paper cites In: International Confer- ence on Learning Representations (2022), https://openreview.net/forum?id= M6M8BEmd6dq.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: International Confer- ence on Learning Representations (2022), https://openreview.net/forum?id= M6M8BEmd6dq

Reference 38

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Observation 699b9fd5-3f6b-47eb-8c54-9fc939939fe1 · outbound

This paper cites Transactions on Machine Learning Research (2024), https://openreview.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Transactions on Machine Learning Research (2024), https://openreview

Reference 39

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Observation c90b5411-6fbf-4833-9ed1-8f57ba5bb977 · outbound

This paper cites In: The Thirteenth International Conference on Learning Representations (2025), https://openreview.net/forum?id=2kGKsyhtvh.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: The Thirteenth International Conference on Learning Representations (2025), https://openreview.net/forum?id=2kGKsyhtvh

Reference 40

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Observation 410e9e7d-2839-43e7-b9da-7954be05cfee · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022).

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)

Reference 41

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Observation ecf92608-e951-4a8a-a635-543d6a7d013d · outbound

This paper cites In: International Conference on Learning Representa- tions (2017) DP-DocLDM: Differentially Private Document Image Generation 19.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: International Conference on Learning Representa- tions (2017) DP-DocLDM: Differentially Private Document Image Generation 19

Reference 42

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Observation 3997bf5f-3582-44ab-a4aa-2faba16e1d62 · outbound

This paper cites IEEE Transactions on Industrial Informatics (2021).

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models IEEE Transactions on Industrial Informatics (2021)

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:51:55.550106Z

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Observation cb2acb74-9194-4c98-81ae-06df90ff7254 · outbound

This paper cites In: 2017 IEEE 30th Computer Security Foundations Symposium (CSF).

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: 2017 IEEE 30th Computer Security Foundations Symposium (CSF)

Reference 44

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Observation 7866bdd8-6865-4159-b2f4-6dfdb6a16c94 · outbound

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DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Unresolved cited work

Reference 45

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Observation f5d9d5dd-1413-44cc-9a91-37229e45202b · outbound

This paper cites In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:51:55.046769Z

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Observation 5bc4aa9d-83be-4461-9b4e-e2afbdc83146 · outbound

This paper cites In: Lladós, J., Lopresti, D., Uchida, S.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Lladós, J., Lopresti, D., Uchida, S

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:51:54.883780Z

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Observation 3853acc6-bf98-421c-878e-c0ef6838dbc8 · outbound

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DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Unresolved cited work

Reference 48

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Observation e591673d-7bb9-48d6-bf1c-7a9338282113 · outbound

This paper cites CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling

Reference 49

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Observation 35b22f14-63f0-41ee-900c-2a14eb3e0070 · outbound

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DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Unresolved cited work

Reference 50

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Observation 25782930-f607-4fea-9d7b-86767346c1b4 · outbound

This paper cites an unresolved cited work.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Unresolved cited work

Reference 51

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 09ca7f4f-51e2-48ff-a9d8-8cce31ad5fca · outbound

This paper cites International Journal on Document Analysis and Recognition (IJDAR) 27(3), 475–499 (jun 2024), http://dx.doi.org/10.1007/s10032-024-00469-8.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models International Journal on Document Analysis and Recognition (IJDAR) 27(3), 475–499 (jun 2024), http://dx.doi.org/10.1007/s10032-024-00469-8

Reference 52

Resolution: verified exact; doi, observed 2026-08-06T00:51:50.326542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a63056ad-b6d6-4bb4-8761-3e572351cd4c · outbound

This paper cites In: Lladós, J., Lopresti, D., Uchida, S.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Lladós, J., Lopresti, D., Uchida, S

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:51:54.405329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7740b9a0-42af-4c38-8970-302ca2ac80f8 · outbound

This paper cites In: Proc.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Proc

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T00:51:48.709631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83f454c1-dbd6-4d64-b0fd-27ff1395acd0 · outbound

This paper cites In: ICDAR ’07: Proceedings of the Ninth International Conference on Document Analysis and Recognition.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: ICDAR ’07: Proceedings of the Ninth International Conference on Document Analysis and Recognition

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:51:54.122884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 153d7226-e431-48d4-84e1-dfe6448698ee · outbound

This paper cites an unresolved cited work.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-06T00:51:53.885731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6ec32146-2349-4738-89a7-23c16f5ab5c3 · outbound

This paper cites Deep Unsupervised Learning using Nonequilibrium Thermodynamics.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T00:51:48.993209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b2735b3-b69a-4a2a-8a62-45f76f7c9c9c · outbound

This paper cites In: Document Analysis and Recognition - ICDAR 2023: 17th Interna- tional Conference, San José, CA, USA, August 21–26, 2023, Proceedings, Part III.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Document Analysis and Recognition - ICDAR 2023: 17th Interna- tional Conference, San José, CA, USA, August 21–26, 2023, Proceedings, Part III

Reference 58

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T00:51:53.628526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 92c393e6-19e6-4316-823e-52addfbf4bd1 · outbound

This paper cites In: Bar- ney Smith, E.H., Liwicki, M., Peng, L.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Bar- ney Smith, E.H., Liwicki, M., Peng, L

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:51:53.396335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6ccf0682-a2a9-430d-be6a-82a0f16cd6fa · outbound

This paper cites In: Proceedings of the IEEE Conference on Com- puter Vision and Pattern Recognition Workshops.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Proceedings of the IEEE Conference on Com- puter Vision and Pattern Recognition Workshops

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:51:53.085198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ebe56f53-244e-4974-81fe-216f182fc89d · outbound

This paper cites Differentially Private Fine-Tuning of Diffusion Models.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Differentially Private Fine-Tuning of Diffusion Models

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-08-06T00:51:51.631298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1c81b5b1-0b9c-4684-8c53-8d11c5996f0a · outbound

This paper cites In: USENIX Se- curity Symposium (2024), https://www.usenix.org/conference/usenixsecurity24/ presentation/wang-haichen.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: USENIX Se- curity Symposium (2024), https://www.usenix.org/conference/usenixsecurity24/ presentation/wang-haichen

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:51:52.918099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ed6891f8-5e05-4b24-b659-34822c4aff0e · outbound

This paper cites Applied Sciences (Switzerland) 12(21) (mar 2022), http://arxiv.org/abs/2103.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Applied Sciences (Switzerland) 12(21) (mar 2022), http://arxiv.org/abs/2103

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:51:52.760493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 88517da9-73ba-4035-9fce-0347f0b12680 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:51:52.586498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f426121c-df0f-4739-931c-1d5956649059 · outbound

This paper cites CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T00:51:49.849008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abb813dc-cdc6-4476-bc3a-8da3c62cc05e · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models mixup: Beyond Empirical Risk Minimization

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T00:51:49.954587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2e24257-63b4-4a8e-b210-70b47b78b31d · outbound

This paper cites an unresolved cited work.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Unresolved cited work

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T00:51:50.059886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd57a4cd-059e-49fe-b8b0-2ea36f65f1fb · outbound

This paper cites an unresolved cited work.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Unresolved cited work

Reference 2021

Resolution: unresolved; raw_fallback, observed 2026-08-06T00:51:59.342131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers