Paper Citation Record · LEDGER

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders

As of 9 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.10580.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.10580 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T10:41:43.164852Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation 3e382dcc-c318-408f-8103-4f3eaa23dbde · outbound

This paper cites Poisoning Attacks against Support Vector Machines.

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders Poisoning Attacks against Support Vector Machines

Reference 1

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Observation c50bbb61-9998-408f-86e2-77491a6f551d · outbound

This paper cites In: 2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML).

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders In: 2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)

Reference 2

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Observation c26465f9-0766-449f-861a-f25e09592fbd · outbound

This paper cites https://arstechnica.com/information-technology/2022/09/artist-finds-private- medical-record-photos-in-popular-ai-training-data-set/ (2022), [Accessed 22-06- 2026].

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders https://arstechnica.com/information-technology/2022/09/artist-finds-private- medical-record-photos-in-popular-ai-training-data-set/ (2022), [Accessed 22-06- 2026]

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Observation c59fc2e3-65de-4fb9-a4a8-8238bcaef010 · outbound

This paper cites In: International Conference on Learning Representations (2022).

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders In: International Conference on Learning Representations (2022)

Reference 4

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Observation fd5c309b-ed2d-4ece-ba8a-cd46b8d30f24 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 5

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Observation ea2f83be-2c54-446b-a12f-49e95041a50f · outbound

This paper cites Advances in neural information processing systems30(2017).

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders Advances in neural information processing systems30(2017)

Reference 6

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Observation f44dee62-1edc-4774-965c-f5a0fdbd933c · outbound

This paper cites In: Ethics of Data and Analytics, pp.

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders In: Ethics of Data and Analytics, pp

Reference 7

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Observation a2781f66-163a-40cc-b658-cc31d1c0f183 · outbound

This paper cites NeurIPS (2020).

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders NeurIPS (2020)

Reference 8

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Observation 6651efd9-173b-48af-849a-5d7b57a5bda5 · outbound

This paper cites In: ICLR (2021).

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders In: ICLR (2021)

Reference 9

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Observation aa4683f2-4ba4-46cd-9ac6-91c1d19e25e5 · outbound

This paper cites The Business Lawyer 75(1), 1637–1646 (2019).

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders The Business Lawyer 75(1), 1637–1646 (2019)

Reference 10

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Observation fd7cb73e-49a6-4631-9841-eff540d5bfc5 · outbound

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DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders Unresolved cited work

Reference 11

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Observation 7596dbd6-66dc-4484-94c6-6b94ec3551a4 · outbound

This paper cites In: Proceedings of the 31st ACM International Conference on Multime- dia.

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders In: Proceedings of the 31st ACM International Conference on Multime- dia

Reference 12

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Observation 12f178fe-80e5-43cf-a369-cc58917869ec · outbound

This paper cites In: Pacific-Asia Conference on Knowledge Discovery and Data Mining.

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders In: Pacific-Asia Conference on Knowledge Discovery and Data Mining

Reference 13

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Observation 4dc8d5da-5709-4df0-b6f5-78c6294852d5 · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 14

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Observation a57c02a4-a108-4a59-885d-96b6a04d725a · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 15

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Observation a640b27d-6cb3-47a8-a809-ef6a6e21c870 · outbound

This paper cites In: International conference on machine learning.

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders In: International conference on machine learning

Reference 16

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Observation deffe02f-aabf-4552-a4a7-afa8421323ee · outbound

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DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders Unresolved cited work

Reference 17

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Observation b8eb7538-95a5-4c3b-83a8-f30e1c2aba56 · outbound

This paper cites Advances in Neural Infor- mation Processing Systems38, 17495–17522 (2026).

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders Advances in Neural Infor- mation Processing Systems38, 17495–17522 (2026)

Reference 18

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Observation 8f97a83b-7ebd-4172-9937-b537c6a4b3ec · outbound

This paper cites Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations.

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations

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Observation 3c6ed40d-4e97-487b-bb7d-1cf533a7b7ac · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 20

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Observation 6a92c287-45cd-4018-87e2-6bfcff1f0bb2 · outbound

This paper cites Going Grayscale: The Road to Understanding and Improving Unlearnable Examples.

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders Going Grayscale: The Road to Understanding and Improving Unlearnable Examples

Reference 21

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Observation b2c8fb1f-7806-48b1-94c0-e7c343dea92d · outbound

This paper cites In: International Conference on Learning Representations (2018).

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders In: International Conference on Learning Representations (2018)

Reference 22

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Observation 0a0dad1f-eea1-4455-893f-24eb6330be06 · outbound

This paper cites In: 2025 IEEE Symposium on Security and Privacy (SP).

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders In: 2025 IEEE Symposium on Security and Privacy (SP)

Reference 23

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Observation a48c742d-8153-4412-b7c0-32eae4f6f25c · outbound

This paper cites IEEE Transactions on Information Forensics and Security (2024).

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders IEEE Transactions on Information Forensics and Security (2024)

Reference 24

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Observation 99846839-6d9b-465a-bcd8-83f22dbc90fc · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 25

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Observation 35d499f9-cdb4-457f-a034-de32e149c13a · outbound

This paper cites Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks.

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks

Reference 26

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Observation 4c93d1be-fb01-428a-abf8-a35ac90e0a20 · outbound

This paper cites Transferable Unlearnable Examples.

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders Transferable Unlearnable Examples

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Observation 73aa8784-799b-42fa-87d7-2893f8ee0d37 · outbound

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DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders International journal of computer vision115(3), 211–252 (2015)

Reference 28

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Observation cb3cda02-c7fc-43f6-9152-6d9f3a1e8695 · outbound

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DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders In: NeurIPS (2018)

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DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders In: International Conference on Learning Representations (2021)

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DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders Advances in neural information processing systems31(2018)

Reference 31

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DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders In: Advances in neural information processing systems

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This paper cites A Practical Guide, 1st Ed., Cham: Springer International Publishing10(3152676), 10–5555 (2017).

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders A Practical Guide, 1st Ed., Cham: Springer International Publishing10(3152676), 10–5555 (2017)

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DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders Provably Unlearnable Data Examples

Reference 34

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DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders IEEE Trans- actions on Neural Networks and Learning Systems (2023)

Reference 35

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DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders In: Digital Video image quality and perceptual coding, pp

Reference 36

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DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 37

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DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders In: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI)

Reference 38

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DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 39

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Observation 4bea95e0-510a-4adf-bdc1-0ad5673c14ea · outbound

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

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation

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DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 41

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Observation 0309d270-4cbf-4d84-a14e-8db77682abee · outbound

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DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-14T10:41:43.164852Z

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Pith citing papers

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