Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection | Paper Citation Record

Observation 2d56bef9-a648-413f-93a9-4e254fc1c52b · outbound

This paper cites WAVES: Benchmarking the Robustness of Image Watermarks.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection WAVES: Benchmarking the Robustness of Image Watermarks

Reference 1

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Observation 13317730-fa8a-400b-9924-257643725307 · outbound

This paper cites Invertible generative models for inverse problems: mitigating representation error and dataset bias.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Invertible generative models for inverse problems: mitigating representation error and dataset bias

Reference 2

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Observation 23abc6db-e9a0-4bcf-97e2-4ff2507848d2 · outbound

This paper cites Synthesizing robust adversarial exam- ples.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Synthesizing robust adversarial exam- ples

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:57.327107Z

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Observation 36db2ec7-fc9f-444d-9116-bab5cee1fcc9 · outbound

This paper cites The Effects of JPEG and JPEG2000 Compression on Attacks using Adversarial Examples.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection The Effects of JPEG and JPEG2000 Compression on Attacks using Adversarial Examples

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:24:04.539446Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 06265adf-ec2c-4c83-a13c-e3c44c33de32 · outbound

This paper cites Compressed Sensing Using Generative Mod- els.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Compressed Sensing Using Generative Mod- els

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:57.466297Z

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Observation 3b702145-bef9-4b62-9b22-a12042456d62 · outbound

This paper cites An Introduction to Vision-Language Modeling.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection An Introduction to Vision-Language Modeling

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:57.545756Z

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Observation b2a6f44b-795f-48b7-8002-51328ee217ea · outbound

This paper cites Braudaway, Karen A.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Braudaway, Karen A

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:57.623097Z

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Observation a4738b73-62ed-40a3-ba7f-05855a2fc4c9 · outbound

This paper cites Generative adversarial networks model for visible watermark removal.IET Image Processing, 13 (10):1783–1789, 2019.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Generative adversarial networks model for visible watermark removal.IET Image Processing, 13 (10):1783–1789, 2019

Reference 8

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Observation 549fe70e-6ee9-4a91-ad03-f37bae86cd3d · outbound

This paper cites Large-scale visible watermark detection and removal with deep convo- lutional networks.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Large-scale visible watermark detection and removal with deep convo- lutional networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:57.803104Z

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Observation a96bee41-fda0-4697-8865-54aa573b0ecc · outbound

This paper cites Custom-Edit: Text-Guided Image Editing with Customized Diffusion Models.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Custom-Edit: Text-Guided Image Editing with Customized Diffusion Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:57.892296Z

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Observation da27d9f1-45f7-4da4-a860-5ea1ff1c8ca2 · outbound

This paper cites How to backdoor diffusion models? InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 4015–4024, 2023.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection How to backdoor diffusion models? InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 4015–4024, 2023

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:57.948409Z

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Observation 90dfab48-19af-4223-b228-2353f1ab9612 · outbound

This paper cites Emnist: Extending mnist to hand- written letters.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Emnist: Extending mnist to hand- written letters

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:13.387379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 20ae7964-9399-459f-94b4-76284bb35ed0 · outbound

This paper cites Secure spread spectrum watermarking for multimedia.IEEE transactions on image process- ing, 6(12):1673–1687, 1997.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Secure spread spectrum watermarking for multimedia.IEEE transactions on image process- ing, 6(12):1673–1687, 1997

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:13.185104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b8b53a13-30aa-4232-848a-1c66054e6e1d · outbound

This paper cites Split then refine: stacked attention-guided resunets for blind single im- age visible watermark removal.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Split then refine: stacked attention-guided resunets for blind single im- age visible watermark removal

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:12.978794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 351fb156-537c-4bd5-8ddd-b7213f228c2b · outbound

This paper cites On the effectiveness of visible watermarks.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection On the effectiveness of visible watermarks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:12.792190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ddd7b47b-169b-4c63-8d8d-6d72f1f9c9f1 · outbound

This paper cites Why do ad- versarial attacks transfer? explaining transferability of evasion and poisoning attacks.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Why do ad- versarial attacks transfer? explaining transferability of evasion and poisoning attacks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:12.641466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d0e3c189-d7c7-4157-9567-5dc676166d0f · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Imagenet: A large-scale hierarchical image database

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:58.404200Z

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Observation d0ea3f56-0617-45da-b040-349f4157db7f · outbound

This paper cites Diffusion models beat gans on image synthesis.Advances in neural information processing systems, 34:8780–8794, 2021.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Diffusion models beat gans on image synthesis.Advances in neural information processing systems, 34:8780–8794, 2021

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:58.488221Z

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Observation 8154cbeb-87e8-4d60-bfea-4f8a4c6ba33d · outbound

This paper cites Density estimation using Real NVP.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Density estimation using Real NVP

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:58.540579Z

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Observation 731829a3-38ff-407a-9fc8-0c346873ad8d · outbound

This paper cites A study of the effect of JPG compression on adversarial images.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection A study of the effect of JPG compression on adversarial images

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:58.622291Z

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Observation 6984b3eb-c6fe-4457-93e6-73fd151a6a35 · outbound

This paper cites The stable signa- ture: Rooting watermarks in latent diffusion models.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection The stable signa- ture: Rooting watermarks in latent diffusion models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:12.473231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c418df87-56a9-4195-bd24-90c8f8bbcb94 · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Model-agnostic meta-learning for fast adaptation of deep networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:12.302971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 233c33e5-19c6-4287-a558-9e7ec606f44c · outbound

This paper cites Bilevel pro- gramming for hyperparameter optimization and meta- learning.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Bilevel pro- gramming for hyperparameter optimization and meta- learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:12.104915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ae26a90d-05a8-4d30-9d7f-05c38a954eef · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:58.970386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5028c061-7f72-4fb7-8999-d9d6fb815b5c · outbound

This paper cites Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:59.030691Z

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Unavailable: canonical work link unavailable.

Observation 6f1324bb-3c96-4d76-9b22-01a91c77322d · outbound

This paper cites Approximation Methods for Bilevel Programming.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Approximation Methods for Bilevel Programming

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:59.121752Z

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Unavailable: canonical work link unavailable.

Observation 23cff279-f997-44e3-ba19-9bb933ed9c8e · outbound

This paper cites Aigc challenges and opportunities related to public safety: a case study of chatgpt.Journal of Safety Science and Resilience, 4(4):329–339, 2023.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Aigc challenges and opportunities related to public safety: a case study of chatgpt.Journal of Safety Science and Resilience, 4(4):329–339, 2023

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:11.927974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dbb07047-6f70-487a-b03c-90d1338f7d49 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:59.259952Z

Source-reported events for the cited work

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Observation 44fe1e37-acf3-4378-a9d0-0d4713a0a76f · outbound

This paper cites Wavelet domain adap- tive visible watermarking.Electronics Letters, 37(20): 1, 2001.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Wavelet domain adap- tive visible watermarking.Electronics Letters, 37(20): 1, 2001

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:11.757357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ef5dae95-3999-4686-b709-64fcb52a8c92 · outbound

This paper cites Attacking vis- ible watermarking schemes.IEEE transactions on multimedia, 6(1):16–30, 2004.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Attacking vis- ible watermarking schemes.IEEE transactions on multimedia, 6(1):16–30, 2004

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:11.554552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 867eee9b-6e96-4faa-a4cc-78b533ff4166 · outbound

This paper cites Metapoison: Practical general-purpose clean-label data poisoning.Advances in Neural Information Processing Systems, 33:12080– 12091, 2020.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Metapoison: Practical general-purpose clean-label data poisoning.Advances in Neural Information Processing Systems, 33:12080– 12091, 2020

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:11.379514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4e7b44e8-5f56-4ab4-91b7-e874f13010b1 · outbound

This paper cites Adap- tive visible watermarking of images.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Adap- tive visible watermarking of images

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:11.239053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 95648114-0a74-4768-b9f8-42ba827f0c61 · outbound

This paper cites Deep Learning-based Text-in-Image Watermarking.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Deep Learning-based Text-in-Image Watermarking

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:24:04.324678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5e58cc14-0a61-4130-8ac5-5280e3789f67 · outbound

This paper cites Markpainting: Ad- versarial machine learning meets inpainting.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Markpainting: Ad- versarial machine learning meets inpainting

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:11.050880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fb46b169-9f70-45ce-a7e7-2566b2dab03e · outbound

This paper cites Diffusionclip: Text-guided diffusion models for robust image manipulation.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Diffusionclip: Text-guided diffusion models for robust image manipulation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:59.801075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8e3938b-4574-40a1-bde5-9f561c6e580c · outbound

This paper cites Auto-Encoding Variational Bayes.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Auto-Encoding Variational Bayes

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:59.848929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b33b369-47ca-4a5f-b469-067bc95f6535 · outbound

This paper cites A water- mark for large language models.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection A water- mark for large language models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:10.928565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a3c3188e-1066-4bac-a43d-d74468d35ae4 · outbound

This paper cites Protecting text ip in the era of llms with robust and scalable watermarking.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Protecting text ip in the era of llms with robust and scalable watermarking

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:10.748251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7f015589-e436-4b79-a1c1-aef59f8e2a88 · outbound

This paper cites Gradient-based learning applied to document recognition.Proceedings of the IEEE, 86(11):2278– 2324, 1998.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Gradient-based learning applied to document recognition.Proceedings of the IEEE, 86(11):2278– 2324, 1998

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:10.577828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0dafa23b-eed9-46db-833d-e8c29a636ad8 · outbound

This paper cites Inverting Deep Generative models, One layer at a time.Advances in neural information processing systems, 32, 2019.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Inverting Deep Generative models, One layer at a time.Advances in neural information processing systems, 32, 2019

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:10.377547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 86062583-d8e3-4fe0-afdf-daf5fc16e0a2 · outbound

This paper cites Removing interference and recov- ering content imaginatively for visible watermark re- moval.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Removing interference and recov- ering content imaginatively for visible watermark re- moval

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:10.237300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation caa4c9aa-1505-48b1-84f7-6cd310ed3e1c · outbound

This paper cites To- wards photo-realistic visible watermark removal with conditional generative adversarial networks.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection To- wards photo-realistic visible watermark removal with conditional generative adversarial networks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:10.095351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 274a061f-d2b4-4ff1-95bb-6f564a7c17c4 · outbound

This paper cites Mist: Towards Improved Adversarial Examples for Diffusion Models.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T11:24:00.439606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10901055-7300-476e-8922-20accd288260 · outbound

This paper cites Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T11:24:00.493067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b4a57ec-5208-4eb0-8278-87532a0203e1 · outbound

This paper cites Visible watermark removal via self- calibrated localization and background refinement.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Visible watermark removal via self- calibrated localization and background refinement

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:09.943804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8ca3350e-b47f-4164-9894-b177589d7c05 · outbound

This paper cites A survey of text watermarking in the era of large language models.ACM Computing Surveys, 2024.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection A survey of text watermarking in the era of large language models.ACM Computing Surveys, 2024

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:09.799258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2b754760-f5b3-47fc-95b8-0990a12265f9 · outbound

This paper cites An Empirical Comparison of GANs and Normalizing Flows for Density Estimation.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection An Empirical Comparison of GANs and Normalizing Flows for Density Estimation

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:24:04.064977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 284a3a44-559e-44ec-9b69-a3f37288c8d6 · outbound

This paper cites Opti- mization for amortized inverse problems.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Opti- mization for amortized inverse problems

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:09.662368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 04501162-488a-48a7-8414-fcd16043763f · outbound

This paper cites Watermark vaccine: Adversarial attacks to prevent watermark removal.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Watermark vaccine: Adversarial attacks to prevent watermark removal

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:09.506048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a72bda53-2a16-4e18-b494-269256b39142 · outbound

This paper cites Toward the unification of generative and discriminative visual foundation model: A survey.The Visual Computer, pages 1–42, 2024.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Toward the unification of generative and discriminative visual foundation model: A survey.The Visual Computer, pages 1–42, 2024

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:09.370900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6bbf2503-1e3a-4eae-a344-c156c9625431 · outbound

This paper cites Wdnet: Watermark-decomposition network for visible water- mark removal.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Wdnet: Watermark-decomposition network for visible water- mark removal

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:09.096574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e0d2a70d-d59c-49c9-b9ba-28a1fe9046d4 · outbound

This paper cites Metacloak: Preventing unau- thorized subject-driven text-to-image diffusion-based synthesis via meta-learning.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Metacloak: Preventing unau- thorized subject-driven text-to-image diffusion-based synthesis via meta-learning

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:08.955987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2cd44364-4937-4b32-9c76-542584fdfc23 · outbound

This paper cites Deep learning face attributes in the wild.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Deep learning face attributes in the wild

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T11:24:01.143108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85d26615-3c14-4844-86f5-878aba635a3c · outbound

This paper cites Decoupled weight decay regularization.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Decoupled weight decay regularization

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T11:24:01.209531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29aed3f0-a967-4eb9-9973-7cb5fba412ee · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic mod- els.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Repaint: Inpainting using denoising diffusion probabilistic mod- els

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:08.751808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ebca7ab9-5522-459c-b488-ab37dbadde6d · outbound

This paper cites Blind deep-learning-based image watermarking robust against geometric trans- formations.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Blind deep-learning-based image watermarking robust against geometric trans- formations

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:08.606964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dd0bbe9e-1644-44ee-9907-3cea8c43f822 · outbound

This paper cites A dual watermarking technique for im- ages.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection A dual watermarking technique for im- ages

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:08.454857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0937752d-c208-4a23-9353-d19224acde75 · outbound

This paper cites Deep Learning Techniques for Inverse Problems in Imaging.IEEE Journal on Selected Areas in Information Theory, 1(1):39–56, 2020.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Deep Learning Techniques for Inverse Problems in Imaging.IEEE Journal on Selected Areas in Information Theory, 1(1):39–56, 2020

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:08.324433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9a624c2e-f92f-449e-9343-db2ebcee7fcb · outbound

This paper cites From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T11:24:01.720080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2137fe13-2bdc-4ac8-a8b7-04ffd07709e6 · outbound

This paper cites Normalizing Flows for Probabilistic Mod- eling and Inference.Journal of Machine Learning Research, 22(57):1–64, 2021.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Normalizing Flows for Probabilistic Mod- eling and Inference.Journal of Machine Learning Research, 22(57):1–64, 2021

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:08.156491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f5857c01-9761-4b3b-9ac0-4c694d77f581 · outbound

This paper cites Practical black-box attacks against machine learning.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Practical black-box attacks against machine learning

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T11:24:01.884527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53996b70-3fb9-4cd2-9109-87111d522fec · outbound

This paper cites Image- adaptive watermarking using visual models.IEEE Journal on selected areas in communications, 16(4): 525–539, 1998.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Image- adaptive watermarking using visual models.IEEE Journal on selected areas in communications, 16(4): 525–539, 1998

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:08.003647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4fe81178-edd8-4d5e-a5b8-2d1efe60f1d0 · outbound

This paper cites Language models are unsupervised multitask learners.OpenAI blog, 1 (8):9, 2019.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Language models are unsupervised multitask learners.OpenAI blog, 1 (8):9, 2019

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T11:24:02.000002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf86cb7d-d25f-4af0-a834-039c384582b2 · outbound

This paper cites The devil is in the gan: backdoor attacks and defenses in deep generative models.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection The devil is in the gan: backdoor attacks and defenses in deep generative models

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:07.880368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b5ced3d0-8500-42e9-8166-6aca29fae73a · outbound

This paper cites High-resolution im- age synthesis with latent diffusion models.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection High-resolution im- age synthesis with latent diffusion models

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:07.745503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5fc5a4dc-d904-4d26-a401-237dea356e7b · outbound

This paper cites Dream- booth: Fine tuning text-to-image diffusion models for subject-driven generation.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Dream- booth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T11:24:02.215486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9d7e829-befd-44c6-9571-03fb50463a95 · outbound

This paper cites Raising the Cost of Malicious AI-Powered Image Editing.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Raising the Cost of Malicious AI-Powered Image Editing

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T11:24:02.267592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4598ab5a-ab30-4bfc-a4a4-5c0ceacf4cdf · outbound

This paper cites Glaze: Protecting artists from style mimicry by {Text-to- Image} models.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Glaze: Protecting artists from style mimicry by {Text-to- Image} models

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:07.612603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fc56f203-b4dc-4459-a1d1-e062ca973a5f · outbound

This paper cites Dragdiffusion: Harnessing diffusion models for interactive point-based image editing.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Dragdiffusion: Harnessing diffusion models for interactive point-based image editing

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T11:24:02.432725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f946289-1cc3-45e5-a4a7-77233981bb9e · outbound

This paper cites A review on bilevel optimization: From classical to evo- lutionary approaches and applications.IEEE trans- actions on evolutionary computation, 22(2):276–295, 2017.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection A review on bilevel optimization: From classical to evo- lutionary approaches and applications.IEEE trans- actions on evolutionary computation, 22(2):276–295, 2017

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:07.439863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 91dea938-8740-4c45-a3e6-13a71025a7d0 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Deep unsupervised learning using nonequilibrium thermodynamics

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T11:24:02.576468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72667373-b67b-49c9-ba7c-0cd054934084 · outbound

This paper cites Learn- ing structured output representation using deep condi- tional generative models.Advances in neural informa- tion processing systems, 28, 2015.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Learn- ing structured output representation using deep condi- tional generative models.Advances in neural informa- tion processing systems, 28, 2015

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:07.240702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b4981b10-0a2d-498a-bffc-d5e04eb3ade4 · outbound

This paper cites Denet: dis- entangled embedding network for visible watermark removal.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Denet: dis- entangled embedding network for visible watermark removal

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:06.986972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0249fae6-ea2b-47be-a5b2-12bca904c89d · outbound

This paper cites Anti- dreambooth: Protecting users from personalized text- to-image synthesis.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Anti- dreambooth: Protecting users from personalized text- to-image synthesis

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:06.824482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ce20ae2b-e5d7-4746-860f-d6fadd58e0eb · outbound

This paper cites Diffusers: State-of-the-art diffusion mod- els.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Diffusers: State-of-the-art diffusion mod- els

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:06.628300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 355260d6-4c8b-4bbc-91e8-f24a4ce3041e · outbound

This paper cites The use of water- marks in the protection of digital multimedia products.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection The use of water- marks in the protection of digital multimedia products

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:06.431773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 54eaf8e5-298e-4a1d-9869-10dbc060b0cf · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T11:24:03.042016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd78fc0d-5e18-43da-b974-ec7ac27cd94f · outbound

This paper cites The emergence of deepfake technol- ogy: A review.Technology innovation management review, 9(11), 2019.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection The emergence of deepfake technol- ogy: A review.Technology innovation management review, 9(11), 2019

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:06.162529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eb436d0c-2b0d-4ff0-9033-3693aa07b24a · outbound

This paper cites Solving In- verse Problems with a Flow-based Noise Model.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Solving In- verse Problems with a Flow-based Noise Model

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:05.921507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 970c89da-49cd-4941-abf8-7fa2906d4a17 · outbound

This paper cites Rethinking adver- sarial attacks as protection against diffusion-based mimicry.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Rethinking adver- sarial attacks as protection against diffusion-based mimicry

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:05.648719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0cbec382-d00c-4fa0-9cbb-c8f6c402fdc3 · outbound

This paper cites Diffusion models: A compre- hensive survey of methods and applications.ACM Computing Surveys, 56(4):1–39, 2023.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Diffusion models: A compre- hensive survey of methods and applications.ACM Computing Surveys, 56(4):1–39, 2023

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:05.252288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a03dd5fe-c937-44b9-a1bc-e65d8cb8af90 · outbound

This paper cites Responsible Disclosure of Generative Models Using Scalable Fingerprinting.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Responsible Disclosure of Generative Models Using Scalable Fingerprinting

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T11:24:03.477713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3e3631d-f967-4ce5-af8d-f5cef9c390e7 · outbound

This paper cites The unreasonable ef- fectiveness of deep features as a perceptual metric.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection The unreasonable ef- fectiveness of deep features as a perceptual metric

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:24:04.937552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 09b537f7-c300-4e8e-8fad-2e35aa8d4b96 · outbound

This paper cites Blurring Fools the Network -- Adversarial Attacks by Feature Peak Suppression and Gaussian Blurring.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Blurring Fools the Network -- Adversarial Attacks by Feature Peak Suppression and Gaussian Blurring

Reference 84

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:24:03.863139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8f01c1f0-5deb-4c4d-aabe-21dae29c684a · outbound

This paper cites A Recipe for Watermarking Diffusion Models.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection A Recipe for Watermarking Diffusion Models

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-07T11:24:03.514296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17006cdc-0beb-4436-84d5-57bc5fb0639d · outbound

This paper cites an unresolved cited work.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:24:04.730063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 45e4f1d5-c877-4fa2-b93f-0658e5165b45 · outbound

This paper cites coefficient of watermark regularizer.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection coefficient of watermark regularizer

Reference 87

Resolution: malformed identifier; no resolver link, observed 2026-08-07T11:24:03.633371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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