Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers | Paper Citation Record

Observation 778d5977-8266-42a3-add6-d8934bd632bc · outbound

This paper cites Necst: Neural joint source-channel coding.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Necst: Neural joint source-channel coding

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.234189Z

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

Observation b2f8eebf-667d-4816-b045-525701604a64 · outbound

This paper cites Distortion agnostic deep watermarking,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Distortion agnostic deep watermarking,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.225943Z

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 70643b64-dec8-44c6-86c1-0f59e88ca242 · outbound

This paper cites Analyzing and Improving the Image Quality of StyleGAN,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Analyzing and Improving the Image Quality of StyleGAN,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.216991Z

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

Observation 582ab08d-989f-478d-adef-8b0e344eab2d · outbound

This paper cites Alias-Free Generative Adversarial Networks,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Alias-Free Generative Adversarial Networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.208905Z

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 5930ca45-387c-4c4a-b03c-a5bf35f37083 · outbound

This paper cites Dual Contrastive Loss and Attention for GANs,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Dual Contrastive Loss and Attention for GANs,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.200667Z

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 a9004ec9-4a43-46df-87c5-35d2b0f7ae0d · outbound

This paper cites Inclusive GAN: Improving Data and Minority Coverage in Generative Models,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Inclusive GAN: Improving Data and Minority Coverage in Generative Models,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.192131Z

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 01e7b0ac-7ff3-430e-9f71-4403caeef681 · outbound

This paper cites DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.183499Z

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 358f7aed-6c33-4be4-895b-7ec9baa050a8 · outbound

This paper cites LAFITE: Towards Language-Free Training for Text-to-Image Generation,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers LAFITE: Towards Language-Free Training for Text-to-Image Generation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.174331Z

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 8ca18898-2739-480c-8832-20789f0f7681 · outbound

This paper cites Scaling up GANs for Text-to-Image Synthesis,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Scaling up GANs for Text-to-Image Synthesis,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.165534Z

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 bb3628c9-319e-48ab-a604-fe43fb1c53b9 · outbound

This paper cites Interpreting the Latent Space of GANs for Semantic Face Editing,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Interpreting the Latent Space of GANs for Semantic Face Editing,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.157377Z

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 2e76005c-1db7-459b-9648-1d5d7df4fe0b · outbound

This paper cites StyleRes: Transforming the Residuals for Real Image Editing with StyleGAN,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers StyleRes: Transforming the Residuals for Real Image Editing with StyleGAN,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.148986Z

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 5d6d3da2-6c5b-4350-9ed5-499a6b097b9f · outbound

This paper cites E4S: Fine-grained Face Swapping via Editing With Regional GAN Inversion,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers E4S: Fine-grained Face Swapping via Editing With Regional GAN Inversion,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.140614Z

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 578f3e0c-984c-43fe-8e33-b0f741ce7299 · outbound

This paper cites Elucidating the De- sign Space of Diffusion-Based Generative Models,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Elucidating the De- sign Space of Diffusion-Based Generative Models,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.132145Z

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 abdff1b7-f84c-4709-849a-95c1b9a8c966 · outbound

This paper cites InstructPix2Pix: Learn- ing to Follow Image Editing Instructions,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers InstructPix2Pix: Learn- ing to Follow Image Editing Instructions,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.123821Z

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 d383b648-72ad-474b-a1bf-c036e4bb3f38 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.115793Z

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 5e8dfd01-a57d-48ac-8f95-e53c42cf1098 · outbound

This paper cites Adding Conditional Control to Text-to-Image Diffusion Models,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Adding Conditional Control to Text-to-Image Diffusion Models,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.107111Z

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 b5530a11-1fc7-4c32-bbe1-c4bff70f837c · outbound

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

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Hidden: Hiding data with deep networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.098795Z

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 24455210-c564-4084-8560-c91ff0e3fedc · outbound

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

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers WAVES: Benchmarking the Robustness of Image Watermarks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.090769Z

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 5ceb5153-e5ad-4d1f-a978-fdef22622696 · outbound

This paper cites StegaStamp: Invisible Hyperlinks in Physical Photographs,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers StegaStamp: Invisible Hyperlinks in Physical Photographs,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.082421Z

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 8f62f5ac-dc08-4bcc-8fea-6d871d6a15d5 · outbound

This paper cites The Stable Signature: Rooting Watermarks in Latent Diffusion Models,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers The Stable Signature: Rooting Watermarks in Latent Diffusion Models,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.074006Z

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 bd39c39f-c4a9-44e7-b417-428b761eec14 · outbound

This paper cites Wavelet-Based CNN for Robust and High-Capacity Image Watermarking,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Wavelet-Based CNN for Robust and High-Capacity Image Watermarking,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.066120Z

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 f28bf269-5f25-497b-be19-20252a663f44 · outbound

This paper cites Artificial Fin- gerprinting for Generative Models: Rooting Deepfake Attribution in Training Data,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Artificial Fin- gerprinting for Generative Models: Rooting Deepfake Attribution in Training Data,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.057795Z

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 73f93c72-b4a2-4c5d-827e-4f9c306fdf1f · outbound

This paper cites A Recipe for Watermarking Diffusion Models,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers A Recipe for Watermarking Diffusion Models,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.049622Z

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 c9bb182e-0d1c-419e-ab56-33536d648e2d · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers High-Resolution Image Synthesis with Latent Diffusion Models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.041329Z

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 d7077eac-1f1b-40cc-b933-91caecf50ac5 · outbound

This paper cites Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.033085Z

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 bfc44d45-fbf8-44bc-bd12-10411b3bfdfd · outbound

This paper cites WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to- Image Diffusion Models,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to- Image Diffusion Models,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.025362Z

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 d7727267-6f19-4a70-844f-bb83d944a19b · outbound

This paper cites PTW: Pivotal Tuning Watermarking for Pre- Trained Image Generators,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers PTW: Pivotal Tuning Watermarking for Pre- Trained Image Generators,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.015380Z

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 1b1e08ff-f71b-4c6b-94cb-492d176e5bb1 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:20.007059Z

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 653c373d-225c-4270-acc6-72c4b50c33f6 · outbound

This paper cites Do Vision Transformers See Like Convolutional Neural Networks?,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Do Vision Transformers See Like Convolutional Neural Networks?,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:19.998553Z

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 61a8093d-2800-468a-bc9d-da3c96be74be · outbound

This paper cites Deep Learning Face Attributes in the Wild,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Deep Learning Face Attributes in the Wild,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:19.990047Z

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 23811f59-cce5-4f2d-b233-0bfecc9a3cb2 · outbound

This paper cites Microsoft COCO: Common Objects in Context,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Microsoft COCO: Common Objects in Context,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:19.981698Z

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 121a8775-8caf-45ac-9586-42c3aa5d3feb · outbound

This paper cites Encoded Feature Enhancement in Watermarking Network for Distortion in Real Scenes,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Encoded Feature Enhancement in Watermarking Network for Distortion in Real Scenes,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:19.973504Z

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 637482e2-89c6-4664-a34d-f15192ee06e2 · outbound

This paper cites Print-Camera Resistant Image Watermarking With Deep Noise Simulation and Constrained Learning,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Print-Camera Resistant Image Watermarking With Deep Noise Simulation and Constrained Learning,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:19.964566Z

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 88a846e9-db9c-4fad-a15d-d4ec62a24fcc · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Towards Deep Learning Models Resistant to Adversarial Attacks,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:19.955566Z

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 af7f2586-df81-4b95-99c4-0f3146f2a419 · outbound

This paper cites Deep Residual Learn- ing for Image Recognition,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Deep Residual Learn- ing for Image Recognition,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:19.850843Z

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 1545754c-6d76-4fa4-b70f-59a2b4802539 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Learning Transferable Visual Models From Natural Language Supervision,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:19.841232Z

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 78a77875-026a-49e7-be6c-79b3f1c9ef9c · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:19.829745Z

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 87395938-28c6-4993-af45-39264f4043fb · outbound

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

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:19.819628Z

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 67ae7cc7-c8b9-41bd-9211-7f91841cea6c · outbound

This paper cites Two-Stage Watermark Removal Framework for Spread Spectrum Watermarking,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Two-Stage Watermark Removal Framework for Spread Spectrum Watermarking,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:19.809947Z

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 6a90171b-33fe-482c-bce4-6f9ffe1b12c5 · outbound

This paper cites Exploring Accurate Invariants on Polar Harmonic Fourier Moments in Polar Coordinates for Robust Image Watermarking,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Exploring Accurate Invariants on Polar Harmonic Fourier Moments in Polar Coordinates for Robust Image Watermarking,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:19.800277Z

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 4b408cec-1e2a-464a-8917-3bae00044496 · outbound

This paper cites De-END: Decoder-Driven Watermarking Network,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers De-END: Decoder-Driven Watermarking Network,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:19.790923Z

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 e079fb9c-02d2-47db-bdae-59da5d8ff458 · outbound

This paper cites Estimating the Secret Key of Spread Spectrum Watermarking Based on Equivalent Keys,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Estimating the Secret Key of Spread Spectrum Watermarking Based on Equivalent Keys,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:19.781765Z

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 8c65395d-c61c-4a09-a638-4f8c2df1e63c · outbound

This paper cites Invisible Backdoor Triggers in Image Editing Model via Deep Watermarking.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Invisible Backdoor Triggers in Image Editing Model via Deep Watermarking

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-05T11:19:19.751736Z

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 51e7b212-1336-4c18-ab09-8a92db3e1631 · outbound

This paper cites Exploring Frequency Adversarial Attacks for Face Forgery Detection,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Exploring Frequency Adversarial Attacks for Face Forgery Detection,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:19.771484Z

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 0371983e-94bb-4be6-a63e-694a22a46085 · outbound

This paper cites Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity,.

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:19:19.762005Z

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.

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