Paper Citation Record · LEDGER

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective

As of 17 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 2 inbound Pith citation observations for arXiv:2505.22604.

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

pith.paper-citation-record.v1
2505.22604 v2

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

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measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:27:56.828271Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T20:00:17.558848Z

Reference resolution

55 of 55 outbound references displayed

verified exact1
verified fuzzy33
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f50f0ae6-6c41-4045-a004-778c3138c565 · outbound

This paper cites Cnn- generated images are surprisingly easy to spot.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Cnn- generated images are surprisingly easy to spot

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:25.977184Z

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Observation 94301217-db85-4511-8ea4-052174df6f1f · outbound

This paper cites Global texture enhancement for fake face detection in the wild.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Global texture enhancement for fake face detection in the wild

Reference 2

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Observation 674055ed-0cdd-45c0-b5b4-e2af58ade9ad · outbound

This paper cites Detecting and simulating artifacts in gan fake images.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Detecting and simulating artifacts in gan fake images

Reference 3

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Observation f944b6bd-8bcb-4bd3-81a2-056cfff012e8 · outbound

This paper cites Leveraging frequency analysis for deep fake image recognition.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Leveraging frequency analysis for deep fake image recognition

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:06.231473Z

Source-reported events for the cited work

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Observation 25f1be97-4e10-490b-8267-9b3490a11da9 · outbound

This paper cites Diffusion noise feature: Accurate and fast generated image detection.arXiv preprint arXiv:2312.02625, 2023.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Diffusion noise feature: Accurate and fast generated image detection.arXiv preprint arXiv:2312.02625, 2023

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:06.357281Z

Source-reported events for the cited work

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Observation 13791789-b4a9-44ce-aa08-d85b8acb783c · outbound

This paper cites Aeroblade: Training-free detection of latent diffusion images using autoencoder reconstruction error.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Aeroblade: Training-free detection of latent diffusion images using autoencoder reconstruction error

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:06.532443Z

Source-reported events for the cited work

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Observation a4e9a240-457b-4fbb-a2a4-5664e6c51d6e · outbound

This paper cites Learning on gradients: Generalized artifacts representation for gan-generated images detection.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Learning on gradients: Generalized artifacts representation for gan-generated images detection

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:25.663648Z

Source-reported events for the cited work

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Observation 4413698a-3d0e-4a8b-963a-15dedf9f6906 · outbound

This paper cites Rethink- ing the up-sampling operations in cnn-based generative network for generalizable deepfake detection.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Rethink- ing the up-sampling operations in cnn-based generative network for generalizable deepfake detection

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:06.833318Z

Source-reported events for the cited work

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Observation 798d8375-2900-4ab7-a96d-177800d04b4f · outbound

This paper cites Detecting generated images by real images.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Detecting generated images by real images

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:25.357039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6f0eb1d8-5860-43a9-8502-f2ff1e8ba7ce · outbound

This paper cites PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:07.143180Z

Source-reported events for the cited work

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Observation 7a4d905c-dbd8-496a-a87a-bb7099b88401 · outbound

This paper cites Vulnerabilities in ai-generated image detection: The challenge of adversarial attacks.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Vulnerabilities in ai-generated image detection: The challenge of adversarial attacks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:07.264614Z

Source-reported events for the cited work

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Observation d14d9340-5c6a-412f-aea4-9ca4f0216b86 · outbound

This paper cites Exploring the adversarial robustness of clip for ai-generated image detection.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Exploring the adversarial robustness of clip for ai-generated image detection

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:25.081590Z

Source-reported events for the cited work

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Observation 903af63f-2550-47a9-a319-95c8d4784b5f · outbound

This paper cites Adversarial Robustness of AI-Generated Image Detectors in the Real World.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Adversarial Robustness of AI-Generated Image Detectors in the Real World

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:07.574515Z

Source-reported events for the cited work

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Observation e30d2622-3836-4bb3-a67e-dd65ce297fb4 · outbound

This paper cites Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:07.745074Z

Source-reported events for the cited work

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Observation 1cf5d30d-44ba-4c48-a18a-689e586878f5 · outbound

This paper cites Think twice before detecting gan-generated fake images from their spectral domain imprints.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Think twice before detecting gan-generated fake images from their spectral domain imprints

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:24.777933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 464dc641-44be-440e-b3da-2d836198ab56 · outbound

This paper cites Evading deepfake detectors via adversarial statistical consistency.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Evading deepfake detectors via adversarial statistical consistency

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:24.502482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4337e481-ec46-46c9-887e-9996b2038695 · outbound

This paper cites Exploring frequency adversarial attacks for face forgery detection.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Exploring frequency adversarial attacks for face forgery detection

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:24.281070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ac12986d-d257-4320-bc4c-a8aa03986be9 · outbound

This paper cites Stealthd- iffusion: Towards evading diffusion forensic detection through diffusion model.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Stealthd- iffusion: Towards evading diffusion forensic detection through diffusion model

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:23.895426Z

Source-reported events for the cited work

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Observation 87177b1f-e37f-4eb0-9e22-8bc6eb4f9736 · outbound

This paper cites Towards deep learning models resistant to adversarial attacks, 2019.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Towards deep learning models resistant to adversarial attacks, 2019

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:23.407605Z

Source-reported events for the cited work

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Observation 1746dacf-a297-40cb-91f4-b251896c166d · outbound

This paper cites Xing, Laurent El Ghaoui, and Michael I.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Xing, Laurent El Ghaoui, and Michael I

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:23.088291Z

Source-reported events for the cited work

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Observation ff7c89be-f9af-4a08-b7d0-21a9f1c9cf0e · outbound

This paper cites Pereira, and William Bialek.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Pereira, and William Bialek

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:22.825975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 223d470a-5592-4ca0-8ef8-110f74be4bd8 · outbound

This paper cites Robustbench: a standardized adversarial robustness benchmark.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Robustbench: a standardized adversarial robustness benchmark

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:22.629773Z

Source-reported events for the cited work

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Observation 84d3ad8b-ae79-46a7-b248-5b255c3ad2e9 · outbound

This paper cites Genimage: A million-scale benchmark for detecting ai-generated image.Advances in Neural Information Processing Systems, 36:77771–77782, 2023.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Genimage: A million-scale benchmark for detecting ai-generated image.Advances in Neural Information Processing Systems, 36:77771–77782, 2023

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:22.422793Z

Source-reported events for the cited work

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Observation fa559cef-0d15-4c94-8a19-9815b278e12d · outbound

This paper cites Towards universal fake image detectors that generalize across generative models, 2024.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Towards universal fake image detectors that generalize across generative models, 2024

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:22.118836Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 314f7015-0164-47fc-b02c-392281ba6a81 · outbound

This paper cites Emergence of invariance and disentanglement in deep representations.Journal of Machine Learning Research, 19(50):1–34, 2018.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Emergence of invariance and disentanglement in deep representations.Journal of Machine Learning Research, 19(50):1–34, 2018

Reference 25

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Observation 6e2ac375-1aad-4693-b040-3b0f3417ae58 · outbound

This paper cites Information dropout: Learning optimal representations through noisy computation.IEEE transactions on pattern analysis and machine intelligence, 40(12):2897–2905, 2018.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Information dropout: Learning optimal representations through noisy computation.IEEE transactions on pattern analysis and machine intelligence, 40(12):2897–2905, 2018

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:21.806147Z

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Observation 5cd9928e-1691-4331-aa2a-836cff809b39 · outbound

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Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:10:21.476111Z

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Observation d99328bc-e583-4f85-9d6e-d29ecb703272 · outbound

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Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Unresolved cited work

Reference 28

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Observation 35ae5811-c3f3-42a7-a1cf-ac679765e91d · outbound

This paper cites Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks, 2020.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks, 2020

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:20.845923Z

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Observation 470a077f-eec5-4e77-8b79-11f492b79742 · outbound

This paper cites Pixle: a fast and effective black-box attack based on rearranging pixels.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Pixle: a fast and effective black-box attack based on rearranging pixels

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:20.540493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 770057a1-5819-47ee-a700-10bf50101294 · outbound

This paper cites Square attack: a query-efficient black-box adversarial attack via random search, 2020.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Square attack: a query-efficient black-box adversarial attack via random search, 2020

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:20.239069Z

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Observation 45b4f8f8-f0ef-4ada-a4d9-002c2b97f8d7 · outbound

This paper cites On adaptive attacks to adversarial example defenses, 2020.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective On adaptive attacks to adversarial example defenses, 2020

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:19.881090Z

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Observation 45dcfcd6-4027-410d-b92a-53d0b2234618 · outbound

This paper cites Adversarial examples are not easily detected: Bypassing ten detection methods, 2017.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Adversarial examples are not easily detected: Bypassing ten detection methods, 2017

Reference 33

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Observation deed95b4-0b40-400e-8a59-6d8edde5a4cb · outbound

This paper cites High-resolution image synthesis with latent diffusion models, 2022.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective High-resolution image synthesis with latent diffusion models, 2022

Reference 34

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Observation 2714d8bf-667e-4fab-ba6b-0409586f2894 · outbound

This paper cites Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:19.568011Z

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Observation bd355a24-a57f-4897-85cd-78e4f5d18253 · outbound

This paper cites Progressive growing of gans for im- proved quality, stability, and variation.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Progressive growing of gans for im- proved quality, stability, and variation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:19.247880Z

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Observation 341afacd-826d-40aa-9f96-47f6161cba6c · outbound

This paper cites Frequency-aware deepfake detection: Improving generalizability through frequency space learning, 2024.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Frequency-aware deepfake detection: Improving generalizability through frequency space learning, 2024

Reference 37

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Observation cd78852e-e4bc-4f3d-849a-1888dfc4be9a · outbound

This paper cites Towards evaluating the robustness of neural networks, 2017.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Towards evaluating the robustness of neural networks, 2017

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:18.930916Z

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Observation c5f53db8-6aae-4fcd-9e47-f6601e433bdb · outbound

This paper cites Minimally distorted adversarial examples with a fast adaptive boundary attack, 2020.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Minimally distorted adversarial examples with a fast adaptive boundary attack, 2020

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:18.612409Z

Source-reported events for the cited work

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Observation 9115cb62-8c2d-40da-bb84-21d72c34127f · outbound

This paper cites Learning transferable visual models from natural language supervision, 2021.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Learning transferable visual models from natural language supervision, 2021

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:11.949869Z

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Observation 929fed8f-ec08-4cc5-bf38-b6b438fca8d9 · outbound

This paper cites Randomized adversarial training via taylor expansion, 2023.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Randomized adversarial training via taylor expansion, 2023

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:18.256682Z

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Observation a7f74d66-e6f3-4f50-b13d-92eed0b21f02 · outbound

This paper cites Feature squeezing: Detecting adversarial examples in deep neural networks.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Feature squeezing: Detecting adversarial examples in deep neural networks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:17.917539Z

Source-reported events for the cited work

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Observation 14ffbe0f-389e-453e-aded-f1b896a030b6 · outbound

This paper cites Diffusion models for adversarial purification, 2022.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Diffusion models for adversarial purification, 2022

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:12.492086Z

Source-reported events for the cited work

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Observation 75de3bd9-fd4e-400a-9c0e-4b100d8bebaa · outbound

This paper cites Robust overfitting does matter: Test-time adversarial purification with fgsm.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Robust overfitting does matter: Test-time adversarial purification with fgsm

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:17.652342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 81948614-33c2-41a7-b2dd-2a1174c64d8c · outbound

This paper cites Robust clip: Unsupervised adversarial fine-tuning of vision embeddings for robust large vision-language models, 2024.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Robust clip: Unsupervised adversarial fine-tuning of vision embeddings for robust large vision-language models, 2024

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:17.303160Z

Source-reported events for the cited work

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Observation 5489af7c-a26a-4eab-a24e-81f396818277 · outbound

This paper cites Forgery-aware adaptive transformer for generalizable synthetic image detection, 2023.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Forgery-aware adaptive transformer for generalizable synthetic image detection, 2023

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:16.962824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f7c6a5b7-6571-4b47-8ac7-6b1f83e9b178 · outbound

This paper cites Forgery-aware adaptive transformer for generalizable synthetic image detection.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Forgery-aware adaptive transformer for generalizable synthetic image detection

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:13.221953Z

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Observation 5f3fc9c5-3689-49de-8bb5-2fe3c6d5263b · outbound

This paper cites Univer- sal adversarial perturbations.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Univer- sal adversarial perturbations

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:16.642233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 51ff02df-8c70-4675-848c-4b543b0c9a09 · outbound

This paper cites Adversarial example detection using latent neighborhood graph.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Adversarial example detection using latent neighborhood graph

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:16.313281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fb6a9ded-3626-4f10-a132-6d70972ea20e · outbound

This paper cites Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:13.621948Z

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Observation 00694277-5a5f-4366-9357-484b8414126f · outbound

This paper cites Detecting adversarial examples via reconstruction-based semantic inconsistency.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Detecting adversarial examples via reconstruction-based semantic inconsistency

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:15.974933Z

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Observation 32ce206e-c471-4388-80ea-4a41f65dad3e · outbound

This paper cites The devil’s advocate: Shattering the illusion of unexploitable data using diffusion models.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective The devil’s advocate: Shattering the illusion of unexploitable data using diffusion models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:15.689397Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6c8633f0-b8ed-4b16-92b0-28f7d6af5643 · outbound

This paper cites Salient Conditional Diffusion for Defending Against Backdoor Attacks.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Salient Conditional Diffusion for Defending Against Backdoor Attacks

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:10:14.688522Z

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Observation 5841c4ea-9b28-4a02-bd9b-0792b1dd6ffb · outbound

This paper cites Guided Diffusion Model for Adversarial Purification.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Guided Diffusion Model for Adversarial Purification

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:14.244190Z

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Observation 9465f26b-9c68-4e34-bd20-c32a88222d6a · outbound

This paper cites Improving adversarial robustness via mutual information estimation, 2022.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Improving adversarial robustness via mutual information estimation, 2022

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:15.313829Z

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Pith citing papers

Observation 28c8cbf5-bd6c-40e4-bce6-d433c6ad9bdd · inbound

MFFI: Multi-Dimensional Face Forgery Image Dataset for Real-World Scenarios cites this paper.

MFFI: Multi-Dimensional Face Forgery Image Dataset for Real-World Scenarios Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T16:27:56.828271Z

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Observation 4e853f2f-1cac-4f0c-a6c9-6ef0388a26de · inbound

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle cites this paper.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective

Reference 179

Resolution: verified exact; local_arxiv, observed 2026-08-08T20:00:17.565652Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.