mlsanityData to 14 Oct 2026

SteganoGAN: High Capacity Image Steganography with GANs

arXiv 1901.03892 ↗First posted 12 Jan 2019cs.CV cs.LG cs.MMcited by 72

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Abstract (arXiv)

Image steganography is a procedure for hiding messages inside pictures. While other techniques such as cryptography aim to prevent adversaries from reading the secret message, steganography aims to hide the presence of the message itself. In this paper, we propose a novel technique for hiding arbitrary binary data in images using generative adversarial networks which allow us to optimize the perceptual quality of the images produced by our model. We show that our approach achieves state-of-the-art payloads of 4.4 bits per pixel, evades detection by steganalysis tools, and is effective on images from multiple datasets. To enable fair comparisons, we have released an open source library that is available online at https://github.com/DAI-Lab/SteganoGAN.

Key facts. Cited by 72 papers in the map (data through 14 Oct 2026). First posted on arXiv 12 Jan 2019.

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Citing papers per year: 2021: 6; 2022: 5; 2023: 21; 2024: 16; 2025: 18; 2026: 6.

72 papers.

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  1. 2023The Stable Signature: Rooting Watermarks in Latent Diffusion Modelscited by 304
  2. 2023Invisible Image Watermarks Are Provably Removable Using Generative AIcited by 134
  3. 2023EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protectioncited by 111
  4. 2023Robustness of AI-Image Detectors: Fundamental Limits and Practical Attackscited by 81
  5. 2023Evading Watermark based Detection of AI-Generated Contentcited by 78
  6. 2022Towards Blind Watermarking: Combining Invertible and Non-invertible Mechanismscited by 61
  7. 2024Watermark Anything with Localized Messagescited by 53
  8. 2023CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image Steganographycited by 50
  9. 2024Attack-Resilient Image Watermarking Using Stable Diffusioncited by 35
  10. 2023A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRUcited by 25
  11. 2021Data Hiding with Deep Learning: A Survey Unifying Digital Watermarking and Steganographycited by 24
  12. 2021Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderingscited by 23
38 more
  1. 2024G2Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priorscited by 20
  2. 2024Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Modelcited by 18
  3. 2023Deep Learning for Steganalysis of Diverse Data Types: A review of methods, taxonomy, challenges and future directionscited by 16
  4. 2022Generative Steganography Networkcited by 15
  5. 2024DiffStega: Towards Universal Training-Free Coverless Image Steganography with Diffusion Modelscited by 15
  6. 2023Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyondcited by 14
  7. 2024SoK: On the Role and Future of AIGC Watermarking in the Era of Gen-AIcited by 14
  8. 2021A Brief Survey on Deep Learning Based Data Hidingcited by 9
  9. 2023Diffusion-Stego: Training-free Diffusion Generative Steganography via Message Projectioncited by 8
  10. 2023Impacts and Risk of Generative AI Technology on Cyber Defensecited by 8
  11. 2025Odysseus: Jailbreaking Commercial Multimodal LLM-integrated Systems via Dual Steganographycited by 8
  12. 2022Hiding Visual Information via Obfuscating Adversarial Perturbationscited by 7
  13. 2025A Baseline Method for Removing Invisible Image Watermarks using Deep Image Priorcited by 7
  14. 2023InvVis: Large-Scale Data Embedding for Invertible Visualizationcited by 6
  15. 2023THInImg: Cross-modal Steganography for Presenting Talking Heads in Imagescited by 6
  16. 2021Generating Synthetic Handwritten Historical Documents With OCR Constrained GANscited by 5
  17. 2023T2IW: Joint Text to Image & Watermark Generationcited by 5
  18. 2023PRIS: Practical robust invertible network for image steganographycited by 5
  19. 2024Robust Message Embedding via Attention Flow-Based Steganographycited by 5
  20. 2023Learning Iterative Neural Optimizers for Image Steganographycited by 4
  21. 2024Diffusion-Based Hierarchical Image Steganographycited by 4
  22. 2023Hey That's Mine Imperceptible Watermarks are Preserved in Diffusion Generated Outputscited by 3
  23. 2025FontGuard: A Robust Font Watermarking Approach Leveraging Deep Font Knowledgecited by 3
  24. 2021Multitask Identity-Aware Image Steganography via Minimax Optimizationcited by 2
  25. 2023Securing Fixed Neural Network Steganographycited by 2
  26. 2024Effective Message Hiding with Order-Preserving Mechanismscited by 2
  27. 2024Hide and Seek: How Does Watermarking Impact Face Recognition?cited by 2
  28. 2024IDEA: An Inverse Domain Expert Adaptation Based Active DNN IP Protection Methodcited by 2
  29. 2025Fragile Watermarking for Image Certification Using Deep Steganographic Embeddingcited by 2
  30. 2025VisGuard: Securing Visualization Dissemination through Tamper-Resistant Data Retrievalcited by 2
  31. 2025Defending against Stegomalware in Deep Neural Networks with Permutation Symmetrycited by 2
  32. 2021StegaPos: Preventing Unwanted Crops and Replacements with Imperceptible Positional Embeddingscited by 1
  33. 2022ParGAN: Learning Real Parametrizable Transformationscited by 1
  34. 2023Exploiting Fine-Grained DCT Representations for Hiding Image-Level Messages within JPEG Imagescited by 1
  35. 2024A Novel Approach to Image Steganography Using Generative Adversarial Networkscited by 1
  36. 2025WaterFlow: Learning Fast & Robust Watermarks using Stable Diffusioncited by 1
  37. 2025CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learningcited by 1
  38. 2025STCL:Curriculum learning Strategies for deep learning image steganography modelscited by 1

50 most cited of 72 All 72 (JSON)