GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security | Paper Citation Record

Observation 6cbb3c37-05f8-4af2-92bd-dd0b6aa59753 · outbound

This paper cites Designing steganographic distortion using directional filters,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Designing steganographic distortion using directional filters,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.574630Z

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Observation 4bac2618-71dc-49cd-887c-002bb0953d3e · outbound

This paper cites Universal distortion function for steganography in an arbitrary domain,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Universal distortion function for steganography in an arbitrary domain,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.559222Z

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Observation aff30c32-9e31-481b-9123-b27b87e2ec1e · outbound

This paper cites A new cost function for spatial image steganography,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security A new cost function for spatial image steganography,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.544461Z

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Observation b20f6b65-7e99-4b02-ad3d-08b9075e7ff9 · outbound

This paper cites Content-adaptive steganog- raphy by minimizing statistical detectability,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Content-adaptive steganog- raphy by minimizing statistical detectability,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.529576Z

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Observation fc5b2ff5-b312-4a02-8bb2-fa25cad838aa · outbound

This paper cites Using statistical image model for jpeg steganography: Uniform embedding revisited,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Using statistical image model for jpeg steganography: Uniform embedding revisited,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.514729Z

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Observation b99eca0b-6460-4083-af87-c77f1ad81fb7 · outbound

This paper cites Automatic steganographic distortion learning using a generative adversarial network,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Automatic steganographic distortion learning using a generative adversarial network,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.498226Z

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Observation 985913a3-7876-4633-8228-381372ca3056 · outbound

This paper cites An embedding cost learning framework using gan,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security An embedding cost learning framework using gan,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.481664Z

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Observation 16953a11-94ca-45d1-a15a-6fc44ccd588a · outbound

This paper cites Steganography embedding cost learning with generative multi-adversarial network,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Steganography embedding cost learning with generative multi-adversarial network,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.466951Z

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

Observation 158748e8-ff69-4dba-a4c8-b361d38776bf · outbound

This paper cites Channel attention image steganography with generative adversarial networks,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Channel attention image steganography with generative adversarial networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.451245Z

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Observation f73dcabb-43c6-472d-ba20-988295816913 · outbound

This paper cites A robust coverless im- age steganography based on an end-to-end hash generation model,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security A robust coverless im- age steganography based on an end-to-end hash generation model,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.435548Z

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

Observation 723d1d5f-2c0b-4c81-a749-a541b4afac7e · outbound

This paper cites Lightweight and effective deep image steganalysis network,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Lightweight and effective deep image steganalysis network,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.419221Z

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Observation 2851b98c-cc64-4b59-9842-2046c79d9740 · outbound

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

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security High- resolution image synthesis with latent diffusion models,

Reference 12

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Observation 8381ceb8-6031-4187-acce-52c746feb959 · outbound

This paper cites SteganoGAN: High Capacity Image Steganography with GANs.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security SteganoGAN: High Capacity Image Steganography with GANs

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:08.604861Z

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Observation 077e0277-0523-4f9f-93a3-ef1e2ffd844b · outbound

This paper cites Minimizing additive distortion in steganography using syndrome-trellis codes,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Minimizing additive distortion in steganography using syndrome-trellis codes,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.391816Z

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Observation fb82c6e0-d3a6-41d6-965c-77fe6b4426be · outbound

This paper cites Fast and effective global covariance pooling network for image steganalysis,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Fast and effective global covariance pooling network for image steganalysis,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.373825Z

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 08915c63-62b5-4e96-9f3b-3a4f5c732e08 · outbound

This paper cites Image disentanglement autoencoder for steganography without embedding,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Image disentanglement autoencoder for steganography without embedding,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.357912Z

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 6670c532-e96f-4be5-b50f-3887ec22959e · outbound

This paper cites Generative steganography network,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Generative steganography network,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.341328Z

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 921ee4cf-7385-4925-a5c1-5ab1fcf18f04 · outbound

This paper cites Stegad- dpm: Generative image steganography based on denoising diffusion probabilistic model,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Stegad- dpm: Generative image steganography based on denoising diffusion probabilistic model,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.324575Z

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 224bfe02-d1de-4d60-91b7-7eebad846064 · outbound

This paper cites Yedroudj-net: An efficient cnn for spatial steganalysis,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Yedroudj-net: An efficient cnn for spatial steganalysis,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.307816Z

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

Observation a5b5425d-a36b-41cc-b4b0-d0f8881df738 · outbound

This paper cites On the limits of steganography,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security On the limits of steganography,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:08.638023Z

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Observation bc57a6dc-6f78-4d23-b020-b07ee0045193 · outbound

This paper cites Practical steganalysis of digital images: state of the art,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Practical steganalysis of digital images: state of the art,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.281731Z

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

Observation 64ee4b13-6288-45a1-b549-28169b1f18f3 · outbound

This paper cites Lsb matching revisited,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Lsb matching revisited,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:08.647154Z

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Observation ef33a928-7ebd-4084-a248-b9de43672969 · outbound

This paper cites Gibbs construction in steganography,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Gibbs construction in steganography,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.255081Z

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 5a0034de-fdd5-4f7d-b00e-cab762b1f40d · outbound

This paper cites Optimality of polar codes in additive steganography under constant distortion profile,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Optimality of polar codes in additive steganography under constant distortion profile,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.236869Z

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Observation 4716f68d-f7a4-4641-8a04-b0c0b1aee3b5 · outbound

This paper cites Distribution-preserving steganography based on text-to-speech genera- tive models,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Distribution-preserving steganography based on text-to-speech genera- tive models,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:08.661806Z

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Observation 0ca1e306-8d30-488f-ba84-0fd117fddbf6 · outbound

This paper cites Structural design of convolutional neural networks for steganalysis,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Structural design of convolutional neural networks for steganalysis,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.211969Z

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

Observation 5243e6c8-42ac-4879-8459-3c8c9f60d514 · outbound

This paper cites Denoising diffusion probabilistic models,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Denoising diffusion probabilistic models,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:08.670634Z

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Observation 743312c1-ccfd-45d5-8319-b3be43bc701d · outbound

This paper cites Generative adversarial text to image synthesis,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Generative adversarial text to image synthesis,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:08.675702Z

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Observation 49929da8-bbdf-446b-90bd-1205f22d9cc4 · outbound

This paper cites Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:08.680455Z

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Observation 80ab4e2e-59cc-4b14-9af5-19c422c58ee8 · outbound

This paper cites Attngan: Fine-grained text to image generation with attentional generative adversarial networks,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Attngan: Fine-grained text to image generation with attentional generative adversarial networks,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:08.685360Z

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Observation 285c2152-4e1c-48a7-8b46-91a5e5df9a57 · outbound

This paper cites Controllable text-to- image generation,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Controllable text-to- image generation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.153313Z

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 ba810704-d206-4faa-bbe7-35d3f8a77ebd · outbound

This paper cites Zero-shot text-to-image generation,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Zero-shot text-to-image generation,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:08.694311Z

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Observation 424aabf7-f0c9-46a3-88bb-b555a0e9ae83 · outbound

This paper cites Gpt-4 technical report,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Gpt-4 technical report,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.121503Z

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

Observation adac0962-198b-4cc3-948a-2ba2ec846c11 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Photorealistic text-to-image diffusion models with deep language understanding,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:08.703186Z

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Observation ff9f85d6-d5a5-48e5-afd0-8baaff4803ed · outbound

This paper cites Attention based data hiding with generative adversarial net- works,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Attention based data hiding with generative adversarial net- works,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.092164Z

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 c4d5664d-ae55-4634-ba9b-d9e327e049f2 · outbound

This paper cites High-capacity convolutional video steganography with temporal residual modeling,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security High-capacity convolutional video steganography with temporal residual modeling,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.073785Z

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 90c15384-de58-462a-b8d1-bbc09c2e0160 · outbound

This paper cites Deepmih: Deep invertible network for multiple image hiding,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Deepmih: Deep invertible network for multiple image hiding,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.054866Z

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 86bdca11-e0c1-41c4-8d02-88d007930e66 · outbound

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

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Imagenet: A large-scale hierarchical image database,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:08.727357Z

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Observation 5e6b194a-6079-440e-939e-7033f73e6d22 · outbound

This paper cites Deep residual network for steganalysis of digital images,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Deep residual network for steganalysis of digital images,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:08.731942Z

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Observation 5c73cd23-231e-4533-a274-ed09422701fe · outbound

This paper cites Improving image generation with better captions,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Improving image generation with better captions,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:09.014488Z

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 d1f247e5-cfd7-4fd5-b0fc-7c4aa140acdf · outbound

This paper cites Generative adversarial networks,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Generative adversarial networks,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:08.741034Z

Source-reported events for the cited work

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Observation 209672a8-da95-400b-bece-e5dfbd269345 · outbound

This paper cites Rich models for steganalysis of digital images,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Rich models for steganalysis of digital images,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:08.746129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12d64425-e76c-45d8-82cb-38666a19ef22 · outbound

This paper cites Defining cost functions for adaptive jpeg steganography at the microscale,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Defining cost functions for adaptive jpeg steganography at the microscale,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:08.976609Z

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 fa25b18e-5781-429a-af52-749a0c211d19 · outbound

This paper cites Ldgm codes based near- optimal coding for adaptive steganography,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Ldgm codes based near- optimal coding for adaptive steganography,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:08.961638Z

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 b23c8a5c-34cc-40c2-b9eb-ddff295841cc · outbound

This paper cites Steganography via cover-source switching,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Steganography via cover-source switching,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:08.945100Z

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 9fe4a1b2-e93a-4f1d-a719-c9f1b46ab77e · outbound

This paper cites Steganography with generated images: Leveraging volatility to enhance security,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Steganography with generated images: Leveraging volatility to enhance security,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:08.927420Z

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 54fa15df-b28c-4576-9b4e-8f8c16dca911 · outbound

This paper cites DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:08.772771Z

Source-reported events for the cited work

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Observation 1c6a2e77-ee82-4dac-9896-51000462f276 · outbound

This paper cites A steganography immunoprocess- ing framework against cnn-based and handcrafted steganalysis,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security A steganography immunoprocess- ing framework against cnn-based and handcrafted steganalysis,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:08.910879Z

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 bd300889-a64c-4d41-a9f5-ec2770cf6685 · outbound

This paper cites Genimage: A million-scale benchmark for detecting ai- generated image,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Genimage: A million-scale benchmark for detecting ai- generated image,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:08.895208Z

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 b9823aa4-b50d-4937-be45-42ad2f9c8529 · outbound

This paper cites Gan-based adaptive cost learning for enhanced image steganography security,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Gan-based adaptive cost learning for enhanced image steganography security,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:08.879666Z

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 ddab5565-34fb-45aa-80b8-6c5c212bc134 · outbound

This paper cites Journeydb: A benchmark for generative image understanding,.

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security Journeydb: A benchmark for generative image understanding,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:08.862965Z

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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