Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era | Paper Citation Record

Observation cd3781ca-5bb8-41bc-b827-2be6ee808b1b · outbound

This paper cites Prest-net: Multi-domain probability estimation network for robust image forgery detection,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Prest-net: Multi-domain probability estimation network for robust image forgery detection,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:59.873091Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 81abd60b-d9b5-495b-9a73-58fbc8fc6ad4 · outbound

This paper cites A recent survey on image watermarking using scaling factor techniques for copyright protection,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era A recent survey on image watermarking using scaling factor techniques for copyright protection,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:59.718579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 65ca520a-ddde-4d48-ac9c-d919efc20054 · outbound

This paper cites Client-side embedding of screen-shooting resilient image watermarking,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Client-side embedding of screen-shooting resilient image watermarking,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:59.534441Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8c093995-4ed7-443c-a6a0-8c3a18415113 · outbound

This paper cites Robust reversible watermarking in encrypted image with secure multi-party based on lightweight cryptography,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Robust reversible watermarking in encrypted image with secure multi-party based on lightweight cryptography,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:59.354363Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4c253c82-43a5-4ca8-9c21-75a8acfff849 · outbound

This paper cites Truncated robust natural watermarking with hungarian optimization,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Truncated robust natural watermarking with hungarian optimization,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:59.186996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d02c9ae5-5af3-43aa-904b-4058e21f34e0 · outbound

This paper cites Independent embedding domain based two- stage robust reversible watermarking,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Independent embedding domain based two- stage robust reversible watermarking,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:59.004173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 34734f7e-0b44-4079-baed-5a9a539665cf · outbound

This paper cites A highly robust reversible watermarking scheme using embedding optimization and rounded error compensation,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era A highly robust reversible watermarking scheme using embedding optimization and rounded error compensation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:58.849517Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 47f46897-71b1-42ce-8250-96135aea4cda · outbound

This paper cites Mbrs: Enhancing robustness of dnn- based watermarking by mini-batch of real and simulated jpeg compres- sion,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Mbrs: Enhancing robustness of dnn- based watermarking by mini-batch of real and simulated jpeg compres- sion,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:58.608866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4eb7dcb1-9c27-43f9-8319-7b8eab7662d0 · outbound

This paper cites Hidden: Hiding data with deep networks,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Hidden: Hiding data with deep networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:58.288870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 40847137-7c36-4cdb-88a8-4ecb08baf9a8 · outbound

This paper cites Copy, right? a testing framework for copyright protection of deep learning models,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Copy, right? a testing framework for copyright protection of deep learning models,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:57.914016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cb440192-3ea4-4bd9-8f83-a9f08e18682e · outbound

This paper cites Modellock: Locking your model with a spell,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Modellock: Locking your model with a spell,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:57.667927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e7073778-214c-468a-956d-acbbada93579 · outbound

This paper cites The secretive company that might end privacy as we know it,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era The secretive company that might end privacy as we know it,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:57.388889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 587d202e-1824-4cca-9f16-7d47ff2fdbf8 · outbound

This paper cites Adversarial privacy-preserving filter,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Adversarial privacy-preserving filter,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:57.079963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7abba904-7042-4bca-9aea-15ed0a262a9e · outbound

This paper cites Adversarial examples make strong poisons,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Adversarial examples make strong poisons,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:56.820815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5425a8f1-c177-4dee-bee6-f5ae78286811 · outbound

This paper cites Autoregressive perturbations for data poisoning,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Autoregressive perturbations for data poisoning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:56.646410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1a73952c-6f15-43c6-989f-b55f110160ad · outbound

This paper cites Availability attacks create shortcuts,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Availability attacks create shortcuts,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:45.668361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 490cf4a2-5090-40ab-91d9-dbda705f9552 · outbound

This paper cites Learnability lock: Authorized learnability con- trol through adversarial invertible transformations,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Learnability lock: Authorized learnability con- trol through adversarial invertible transformations,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:56.468377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8863c943-e8c0-4cda-aaa1-cc4b26922e8c · outbound

This paper cites Preventing unauthorized use of proprietary data: Poisoning for secure dataset release,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Preventing unauthorized use of proprietary data: Poisoning for secure dataset release,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:56.322952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0a36945b-4400-4252-a1fb-a1c55d2d4bd3 · outbound

This paper cites Robust unlearnable examples: Protecting data against adversarial learning,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Robust unlearnable examples: Protecting data against adversarial learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:56.133080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2f2ce029-ac72-4515-afc3-8f4ba9b42d07 · outbound

This paper cites Unlearnable examples: Making personal data unexploitable,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Unlearnable examples: Making personal data unexploitable,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:55.989658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3f6478c6-545b-4e1c-aa46-fdbe24969001 · outbound

This paper cites Unlearnable clusters: Towards label-agnostic unlearnable examples,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Unlearnable clusters: Towards label-agnostic unlearnable examples,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:55.843013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 53c82e8e-e4b4-46f4-bc31-5d8e6a69c279 · outbound

This paper cites Guided erasable adversarial attack (geaa) toward shared data protection,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Guided erasable adversarial attack (geaa) toward shared data protection,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:55.642741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c3dd0d38-76fc-4c5f-ba2b-4b418743177c · outbound

This paper cites Adv-watermark: A novel watermark perturbation for adversarial examples,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Adv-watermark: A novel watermark perturbation for adversarial examples,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:55.479253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bee63a6e-0cb7-4d4e-8ec9-206f199efa67 · outbound

This paper cites A self- supervised cnn for image watermark removal,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era A self- supervised cnn for image watermark removal,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:55.226065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 195f3dc9-e4e2-4721-bd9c-3687a1e53093 · outbound

This paper cites Poisoning attacks against support vector machines,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Poisoning attacks against support vector machines,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:55.035017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 82015c43-7414-452b-88dc-bfd0635a6e16 · outbound

This paper cites Towards poisoning of deep learning algorithms with back-gradient optimization,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Towards poisoning of deep learning algorithms with back-gradient optimization,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:54.879499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 358a6507-8c84-4a8b-abfc-04a13382074d · outbound

This paper cites Metapoison: Practical general-purpose clean-label data poisoning,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Metapoison: Practical general-purpose clean-label data poisoning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:54.729983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b759dada-f642-4def-9491-46ee791e7f1f · outbound

This paper cites Witches’ brew: Industrial scale data poisoning via gradient matching,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Witches’ brew: Industrial scale data poisoning via gradient matching,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:54.552972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e89b3cca-b6f4-4438-8c94-eada3e6d1208 · outbound

This paper cites Neural tangent generalization attacks,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Neural tangent generalization attacks,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:54.410170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9ed9dd1b-4d80-4a5d-b7ce-54786410631d · outbound

This paper cites Transferable unlearnable examples,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Transferable unlearnable examples,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:54.295526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1ed37c52-d227-48ab-9e2c-df90057238ce · outbound

This paper cites Unseg: One universal unlearnable example generator is enough against all image segmentation,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Unseg: One universal unlearnable example generator is enough against all image segmentation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:54.184327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8193406-971a-4a2b-9c0f-6db48481f9d8 · outbound

This paper cites Red- mark: Framework for residual diffusion watermarking based on deep networks,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Red- mark: Framework for residual diffusion watermarking based on deep networks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:54.044865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e0b63479-327e-42e5-99aa-47cda2f0ea53 · outbound

This paper cites A novel two-stage separable deep learning framework for practical blind watermarking,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era A novel two-stage separable deep learning framework for practical blind watermarking,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:53.908831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 42e2d04d-fc1a-4902-bad4-c1a06eb49f51 · outbound

This paper cites Stegastamp: Invisible hyperlinks in physical photographs,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Stegastamp: Invisible hyperlinks in physical photographs,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:53.781234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 65737f69-9dc4-4cc4-8e99-6db5bb7d7ba7 · outbound

This paper cites Robust high- capacity watermarking over online social network shared images,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Robust high- capacity watermarking over online social network shared images,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:53.654029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0228309a-d303-49f4-9610-accb590d03ca · outbound

This paper cites Waverecovery: Screen- shooting watermarking based on wavelet and recovery,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Waverecovery: Screen- shooting watermarking based on wavelet and recovery,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:53.517766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 23176b5d-48c0-482c-971e-d0f761ce414a · outbound

This paper cites Screen-shooting resistant watermarking with grayscale deviation simulation,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Screen-shooting resistant watermarking with grayscale deviation simulation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:53.303000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b2ef8ff6-6888-4f52-88e6-942fd842deba · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era The unreasonable effectiveness of deep features as a perceptual metric,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:47.714348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b1c6e56-cc7b-4d3a-ad14-6ca57918c453 · outbound

This paper cites The jpeg still picture compression standard,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era The jpeg still picture compression standard,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:53.159407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bb175507-6e26-4898-bf20-eebd1bb9755a · outbound

This paper cites Squeeze-and-excitation networks,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Squeeze-and-excitation networks,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:53.029592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b98daa39-6291-4ebf-89db-efbb2c951e60 · outbound

This paper cites Explaining and harnessing adversarial examples,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Explaining and harnessing adversarial examples,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:52.864778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5172429a-9048-4a00-9273-dbe56f9be658 · outbound

This paper cites Deepfool: a simple and accurate method to fool deep neural networks,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Deepfool: a simple and accurate method to fool deep neural networks,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:52.719047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0f70d3db-1753-4cb6-af5a-cc2d075d5176 · outbound

This paper cites The robustness of deep networks: A geometrical perspective,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era The robustness of deep networks: A geometrical perspective,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:52.562980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation be601e58-beee-4bcf-a873-0afdf3513cd6 · outbound

This paper cites Delving into transferable adversarial examples and black-box attacks,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Delving into transferable adversarial examples and black-box attacks,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:52.423508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 76110134-b12d-4207-a7ac-8c0839fe0a3d · outbound

This paper cites Revisiting model stitching to compare neural representations,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Revisiting model stitching to compare neural representations,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:52.242637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b9b1e717-8d44-4048-8a34-3cc3caec4ff4 · outbound

This paper cites Grounding representation similarity with statistical testing,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Grounding representation similarity with statistical testing,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:52.108926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f8cf000a-48a3-4bca-b2a3-80a19d278ab0 · outbound

This paper cites Similarity of neural network representations revisited,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Similarity of neural network representations revisited,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:51.944243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d0c65a4a-5048-4e44-93d2-e723c9b37b6c · outbound

This paper cites Insights on representational similarity in neural networks with canonical correlation,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Insights on representational similarity in neural networks with canonical correlation,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:51.806560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 920b39af-58f0-4ae2-925f-1baa2e7772f0 · outbound

This paper cites Do wide and deep networks learn the same things? uncovering how neural network representations vary with width and depth,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Do wide and deep networks learn the same things? uncovering how neural network representations vary with width and depth,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:51.654433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e59f73a4-3e7c-45ec-9319-c35d1e85adbd · outbound

This paper cites Maximum-entropy adver- sarial data augmentation for improved generalization and robustness,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Maximum-entropy adver- sarial data augmentation for improved generalization and robustness,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:51.508431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b2a0856f-02d9-4997-9c07-c0fd006ae27f · outbound

This paper cites Ima- genet: A large-scale hierarchical image database,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Ima- genet: A large-scale hierarchical image database,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:51.352599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4ad3f1de-db3b-41a4-bc3a-2736130b6d5b · outbound

This paper cites Cifar-10 image classification with con- volutional neural networks for embedded systems,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Cifar-10 image classification with con- volutional neural networks for embedded systems,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:51.186801Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 17f8cdef-bee4-40e9-9717-3a98bb8bff2d · outbound

This paper cites Cats and dogs,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Cats and dogs,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:51.023758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4596cc81-7a2d-424b-9606-40171ca51529 · outbound

This paper cites Deep residual learning for image recognition,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Deep residual learning for image recognition,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:49.183490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa7b81e0-3ba1-4505-9efc-7d61b16e04ce · outbound

This paper cites Very deep convolutional networks for large-scale image recognition,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Very deep convolutional networks for large-scale image recognition,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:50.815603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5655e1e0-4473-4523-bb8d-1a2333a78cf8 · outbound

This paper cites Mo- bilenetv2: Inverted residuals and linear bottlenecks,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Mo- bilenetv2: Inverted residuals and linear bottlenecks,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:50.621043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 046ccd18-4b20-4899-bb41-1a96fc229cf1 · outbound

This paper cites Going deeper with convolutions,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Going deeper with convolutions,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:50.450913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 62e72d69-39a1-441c-b11b-1b6c3fe41836 · outbound

This paper cites Densely connected convolutional networks,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Densely connected convolutional networks,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:50.296685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 45f98470-2b3d-47d6-9f2d-29279b4d12c8 · outbound

This paper cites Robust image forgery detection against transmission over online social networks,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Robust image forgery detection against transmission over online social networks,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:50.157654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b907b1ea-677a-40f7-89c4-d72fc6ed1405 · outbound

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

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:49.733556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c1ae01a-57a5-4609-8446-8a18fe1ab281 · outbound

This paper cites Dual defense: Adversarial, traceable, and invisible robust watermarking against face swapping,.

Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Dual defense: Adversarial, traceable, and invisible robust watermarking against face swapping,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:50.025817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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