To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model | Paper Citation Record

Observation ef8a8501-0285-4e70-9e15-b8d31b7a1a2e · outbound

This paper cites IEEE Transactions on Multimedia , year=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model IEEE Transactions on Multimedia , year=

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:47.735144Z

Source-reported events for the cited work

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

Observation 6ab72343-d4fc-4453-ba61-34109cd18e97 · outbound

This paper cites an unresolved cited work.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-05-15T04:19:47.707736Z

Source-reported events for the cited work

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

Observation edaffa93-3171-4de9-bb66-854658290e39 · outbound

This paper cites Qwen3-VL Technical Report.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Qwen3-VL Technical Report

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T02:39:40.866211Z

Source-reported events for the cited work

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

Observation e55507ec-3156-44cf-85e4-6dab3ff931ac · outbound

This paper cites 2021 IEEE Symposium on Security and Privacy , pages=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model 2021 IEEE Symposium on Security and Privacy , pages=

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:47.745642Z

Source-reported events for the cited work

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

Observation 5814e87e-8af6-43e2-9072-da8dc2d097f7 · outbound

This paper cites 34th USENIX Security Symposium (USENIX Security 25) , pages=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model 34th USENIX Security Symposium (USENIX Security 25) , pages=

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:47.716981Z

Source-reported events for the cited work

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

Observation 5167e0f6-4942-460a-9a1d-6bcb4c93df96 · outbound

This paper cites 30th USENIX Security Symposium , pages=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model 30th USENIX Security Symposium , pages=

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:47.771961Z

Source-reported events for the cited work

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

Observation 10ef64a6-fe8d-4fb2-8897-431d8a0a472f · outbound

This paper cites 2022 IEEE symposium on security and privacy (SP) , pages=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model 2022 IEEE symposium on security and privacy (SP) , pages=

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:47.757639Z

Source-reported events for the cited work

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

Observation 58b0e2db-32ec-4034-a852-e18481b48606 · outbound

This paper cites International Conference on Learning Representations , year=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model International Conference on Learning Representations , year=

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:47.722905Z

Source-reported events for the cited work

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

Observation 4a1bc71f-9aa1-4b7d-ac3d-4e8870600f2a · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Advances in Neural Information Processing Systems , volume=

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:47.751229Z

Source-reported events for the cited work

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

Observation 65e38d1c-cff1-4ccd-8bf9-290ece8486e0 · outbound

This paper cites Journal of King Saud University Computer and Information Sciences , volume=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Journal of King Saud University Computer and Information Sciences , volume=

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:47.729455Z

Source-reported events for the cited work

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

Observation 6b590da0-0963-484f-9c3b-5b2f7cf8e869 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T02:39:40.892761Z

Source-reported events for the cited work

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

Observation 09efd41d-e43a-4d36-b897-9038eea33865 · outbound

This paper cites ACM Computing Surveys , volume=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model ACM Computing Surveys , volume=

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.008911Z

Source-reported events for the cited work

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

Observation 7111ee68-b6a0-49bf-8c99-74b2f034f844 · outbound

This paper cites Nature , volume=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Nature , volume=

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.154040Z

Source-reported events for the cited work

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

Observation ee8c8361-b60a-4e56-941e-e443085d40f6 · outbound

This paper cites IEEE Conference on Secure and Trustworthy Machine Learning , year=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model IEEE Conference on Secure and Trustworthy Machine Learning , year=

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:47.996963Z

Source-reported events for the cited work

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

Observation b8be1bca-6c80-4f83-bd6a-9c5e65e87cb5 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:47.989725Z

Source-reported events for the cited work

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

Observation fbcd7b10-51a3-4051-b94b-6f82071aef50 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Advances in Neural Information Processing Systems , volume=

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.067884Z

Source-reported events for the cited work

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

Observation b634a6f7-580c-463a-9776-f6bca17f90e8 · outbound

This paper cites International Conference on Learning Representations , year=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model International Conference on Learning Representations , year=

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:47.874849Z

Source-reported events for the cited work

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

Observation bb1b9fda-d78d-4803-a6c6-0f1e6178e09c · outbound

This paper cites Gemma 3 Technical Report.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Gemma 3 Technical Report

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T02:39:40.900194Z

Source-reported events for the cited work

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

Observation 89f2234c-ecd8-4e5c-96c3-daba9360a9d9 · outbound

This paper cites GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T02:39:40.896473Z

Source-reported events for the cited work

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

Observation d7c80942-e641-4db6-b268-6bbd23835ed1 · outbound

This paper cites an unresolved cited work.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-05-15T04:19:47.906252Z

Source-reported events for the cited work

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

Observation 7b18f628-bfde-4066-803d-4cafa25f8fef · outbound

This paper cites The Llama 3 Herd of Models.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model The Llama 3 Herd of Models

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T02:39:40.889204Z

Source-reported events for the cited work

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

Observation 5c3ed147-51de-481a-914c-ec38cf6efd80 · outbound

This paper cites an unresolved cited work.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-05-15T04:19:47.961639Z

Source-reported events for the cited work

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

Observation ca57ed0f-353b-4d6e-a907-b069b67e5814 · outbound

This paper cites Journal of Machine Learning Research , volume=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Journal of Machine Learning Research , volume=

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.096384Z

Source-reported events for the cited work

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

Observation 82d03630-5cde-434d-a9af-28947e5a3ab1 · outbound

This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , year=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , year=

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.170342Z

Source-reported events for the cited work

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

Observation 054550ce-b1c6-40b4-94b4-5a0a74a8228e · outbound

This paper cites International Conference on Learning Representations , year=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model International Conference on Learning Representations , year=

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.015210Z

Source-reported events for the cited work

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

Observation ba8c5c6f-271b-4d26-8233-b6603977030b · outbound

This paper cites International Conference on Machine Learning , pages=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model International Conference on Machine Learning , pages=

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.061574Z

Source-reported events for the cited work

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

Observation eecab595-a47e-4143-a8be-d1691f933cf2 · outbound

This paper cites Towards Operationalizing Right to Data Protection.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Towards Operationalizing Right to Data Protection

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:39:40.892602Z

Source-reported events for the cited work

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

Observation daaa30f2-2c47-44f9-85b5-6384a0f8976f · outbound

This paper cites Scientific data , volume=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Scientific data , volume=

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:47.880537Z

Source-reported events for the cited work

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

Observation 2241dfc8-455a-43a7-ae48-ac02c2362810 · outbound

This paper cites Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing (TrustNLP 2023) , pages=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing (TrustNLP 2023) , pages=

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:47.972910Z

Source-reported events for the cited work

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

Observation e46a338a-8f5a-4ade-a91d-e3c1ccce3b07 · outbound

This paper cites IEEE International Conference on Acoustics, Speech and Signal Processing , year=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model IEEE International Conference on Acoustics, Speech and Signal Processing , year=

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:47.898897Z

Source-reported events for the cited work

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

Observation f14d1719-29dd-49db-8248-dfc26bb657dd · outbound

This paper cites Unlearnable Graph: Protecting Graphs from Unauthorized Exploitation.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Unlearnable Graph: Protecting Graphs from Unauthorized Exploitation

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:39:40.886011Z

Source-reported events for the cited work

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

Observation 94f9cbe6-59cc-4ebe-b673-4e7ca027f273 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Advances in Neural Information Processing Systems , volume=

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:47.923307Z

Source-reported events for the cited work

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

Observation 43e52867-a09f-4c12-8291-81b67496790c · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.048193Z

Source-reported events for the cited work

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

Observation dcfda775-b69b-4641-9807-80ffa74b27c7 · outbound

This paper cites Proceedings of the 32nd ACM International Conference on Multimedia , pages=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Proceedings of the 32nd ACM International Conference on Multimedia , pages=

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.164909Z

Source-reported events for the cited work

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

Observation 63875f38-d203-476f-a270-6fdd7011703b · outbound

This paper cites an unresolved cited work.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-05-15T04:19:48.136473Z

Source-reported events for the cited work

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

Observation 86cbc7fe-d00b-49b0-8a08-99f90daa691b · outbound

This paper cites Nature Machine Intelligence , volume=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Nature Machine Intelligence , volume=

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:47.942703Z

Source-reported events for the cited work

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

Observation c294da9f-1e67-4451-92f9-69a9a63ba734 · outbound

This paper cites A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T02:39:40.903845Z

Source-reported events for the cited work

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

Observation efe2b06b-37bf-44dd-8f4e-8b3d8973c59c · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Advances in Neural Information Processing Systems , volume=

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:47.889200Z

Source-reported events for the cited work

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

Observation e96a8c1f-1084-4753-b626-a137edac00fa · outbound

This paper cites Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis , pages=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis , pages=

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.148537Z

Source-reported events for the cited work

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

Observation 54ef1c5f-637a-46c7-bd61-9a10c655a5a3 · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.125214Z

Source-reported events for the cited work

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

Observation f3556424-4fa8-4a52-80d9-f0afd5000580 · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.020576Z

Source-reported events for the cited work

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

Observation 8b7675da-fe6a-458b-a2dc-778aed549a5c · outbound

This paper cites Advances in neural information processing systems , volume=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Advances in neural information processing systems , volume=

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.159617Z

Source-reported events for the cited work

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

Observation 6ca20ae8-c348-4b5f-b14d-78aec5a3d194 · outbound

This paper cites International Conference on Learning Representations , year=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model International Conference on Learning Representations , year=

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:47.801740Z

Source-reported events for the cited work

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

Observation 4b4dbdd9-bf1a-4f94-a9b1-32bd0e36e390 · outbound

This paper cites Proceedings of the IEEE/CVF winter conference on applications of computer vision , pages=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Proceedings of the IEEE/CVF winter conference on applications of computer vision , pages=

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.043660Z

Source-reported events for the cited work

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

Observation b370b28c-6815-4e0b-b7f8-834198c6d696 · outbound

This paper cites and Grant, Nico , howpublished=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model and Grant, Nico , howpublished=

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.069003Z

Source-reported events for the cited work

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

Observation 3b44ed44-0060-4b12-8322-c9ed76901ef0 · outbound

This paper cites arXiv e-prints , pages=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model arXiv e-prints , pages=

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.085046Z

Source-reported events for the cited work

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

Observation e4f4ecd7-cfd6-4adf-bdf9-053d371e0f5a · outbound

This paper cites International Conference on Machine Learning , pages=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model International Conference on Machine Learning , pages=

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.119361Z

Source-reported events for the cited work

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

Observation 2b659955-1aab-4591-b7c2-08ce9bf4a9b7 · outbound

This paper cites an unresolved cited work.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Unresolved cited work

Reference 48

Resolution: parse uncertain; raw_fallback, observed 2026-05-15T04:19:47.853882Z

Source-reported events for the cited work

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

Observation 41cac733-4f8e-4f27-b4e7-e5e24df003ff · outbound

This paper cites International Conference on Learning Representations , year=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model International Conference on Learning Representations , year=

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.102408Z

Source-reported events for the cited work

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

Observation 619214e4-3243-401e-93b7-17dcb5365dd5 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Advances in Neural Information Processing Systems , volume=

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.142225Z

Source-reported events for the cited work

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

Observation 07d33d16-8425-4910-ae53-217332cfeef4 · outbound

This paper cites an unresolved cited work.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-05-15T04:19:48.079406Z

Source-reported events for the cited work

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

Observation 0bbf1e55-f122-4774-b549-90e0c2ed8f2d · outbound

This paper cites an unresolved cited work.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-05-15T04:19:48.055551Z

Source-reported events for the cited work

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

Observation 2c390538-4708-4e35-bd89-1ce6f504f739 · outbound

This paper cites an unresolved cited work.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-05-15T04:19:47.968202Z

Source-reported events for the cited work

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

Observation 58513a96-67e7-4212-8d79-49ce5c10a403 · outbound

This paper cites International Conference on Learning Representations , year=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model International Conference on Learning Representations , year=

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.055282Z

Source-reported events for the cited work

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

Observation 9d361572-0735-46f4-9e0d-de2c2286d61e · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.130621Z

Source-reported events for the cited work

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

Observation 9609da9e-cd01-4ad6-8389-534fe4034349 · outbound

This paper cites Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security , pages=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security , pages=

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.037482Z

Source-reported events for the cited work

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

Observation 55d15466-b439-4626-9b1e-96ab992bf1cf · outbound

This paper cites an unresolved cited work.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-05-15T04:19:48.020002Z

Source-reported events for the cited work

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

Observation e8d6cc7a-b192-4dd3-ae32-255a92db8d1d · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:47.845055Z

Source-reported events for the cited work

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

Observation f7579790-e47b-4d4e-bef4-d744223bf2cb · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.108278Z

Source-reported events for the cited work

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

Observation 160763d6-aff6-4d8b-a72f-05868b1d98fe · outbound

This paper cites Proceedings of the 32nd ACM International Conference on Multimedia , year=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Proceedings of the 32nd ACM International Conference on Multimedia , year=

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.013341Z

Source-reported events for the cited work

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

Observation a94f9d59-9b7f-40bc-9679-e075511ab080 · outbound

This paper cites Implicit Jailbreak Attacks via Cross-Modal Information Concealment on Vision-Language Models.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Implicit Jailbreak Attacks via Cross-Modal Information Concealment on Vision-Language Models

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:39:40.885563Z

Source-reported events for the cited work

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

Observation cf888b9c-d8d8-4cce-a5ae-68b091e02b39 · outbound

This paper cites an unresolved cited work.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-05-15T04:19:48.090724Z

Source-reported events for the cited work

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

Observation 01e361b8-e6cd-4e9d-a59d-ec74a9550715 · outbound

This paper cites Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:39:40.907359Z

Source-reported events for the cited work

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

Observation 69b6214b-2905-4f91-8480-69054c191dfa · outbound

This paper cites arXiv preprint arXiv:2603.04731 , year=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model arXiv preprint arXiv:2603.04731 , year=

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:39:40.888959Z

Source-reported events for the cited work

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

Observation 15e7db44-a85d-4dbc-9c38-e7eb57352548 · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.002837Z

Source-reported events for the cited work

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

Observation 6cb6db84-7376-49a0-b3f0-3017eb421e5f · outbound

This paper cites On protecting the data privacy of large language models (.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model On protecting the data privacy of large language models (

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:47.987349Z

Source-reported events for the cited work

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

Observation 6a532434-3e9c-4377-b660-33a0d1c4ee07 · outbound

This paper cites Nature Communications , volume=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Nature Communications , volume=

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.073192Z

Source-reported events for the cited work

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

Observation 3f34470d-37e2-41f6-b595-b281e1f82383 · outbound

This paper cites Class Action Complaint.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Class Action Complaint

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.026615Z

Source-reported events for the cited work

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

Observation 1f4204d5-f2ea-4244-94d6-3c7fd4817e60 · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:47.950948Z

Source-reported events for the cited work

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

Observation f28a8b91-7a9e-4e8e-8879-0818655382af · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:47.914950Z

Source-reported events for the cited work

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

Observation 1f8718b1-d227-46f0-8a83-b3ff1723aac8 · outbound

This paper cites Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:39:40.881741Z

Source-reported events for the cited work

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

Observation 768f875f-de00-4405-9aa7-70d7813bb836 · outbound

This paper cites an unresolved cited work.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-05-15T04:19:48.114294Z

Source-reported events for the cited work

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

Observation dd92d4c7-0924-45f1-be3c-10357a0cdba5 · outbound

This paper cites an unresolved cited work.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-05-15T04:19:47.982761Z

Source-reported events for the cited work

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

Observation b609cc66-ca92-4623-8840-15bcdf240fd5 · outbound

This paper cites Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) , pages=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) , pages=

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:47.778054Z

Source-reported events for the cited work

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

Observation 4db31eac-f7c7-4674-a9fd-1c6f5f3d65ee · outbound

This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:19:48.033160Z

Source-reported events for the cited work

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

Coverage vector

Reference resolution

Outbound references

Pith citing papers