{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/steganogan-high-capacity-image-steganography","title":"SteganoGAN: High Capacity Image Steganography with GANs","arxiv_id":"1901.03892","date":"2019-01-12","proceeding":null,"authors":["Kevin Alex Zhang","Alfredo Cuesta-Infante","Lei Xu","Kalyan Veeramachaneni"],"abstract":"Image steganography is a procedure for hiding messages inside pictures. While\nother techniques such as cryptography aim to prevent adversaries from reading\nthe secret message, steganography aims to hide the presence of the message\nitself. In this paper, we propose a novel technique for hiding arbitrary binary\ndata in images using generative adversarial networks which allow us to optimize\nthe perceptual quality of the images produced by our model. We show that our\napproach achieves state-of-the-art payloads of 4.4 bits per pixel, evades\ndetection by steganalysis tools, and is effective on images from multiple\ndatasets. To enable fair comparisons, we have released an open source library\nthat is available online at https://github.com/DAI-Lab/SteganoGAN.","url_abs":"http://arxiv.org/abs/1901.03892v2","url_pdf":"http://arxiv.org/pdf/1901.03892v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"steganogan-high-capacity-image-steganography","repo_url":"https://github.com/DAI-Lab/SteganoGAN","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"steganogan-high-capacity-image-steganography","repo_url":"https://github.com/Heaven-hand/GAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"steganogan-high-capacity-image-steganography","repo_url":"https://github.com/IricsDo/Data-Hidding-Using-GAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"steganogan-high-capacity-image-steganography","repo_url":"https://github.com/SejPal/SteganoGAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"steganogan-high-capacity-image-steganography","repo_url":"https://github.com/tiennhamhd/steganoganhd","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"image-steganography","task_name":"Image Steganography"},{"task_slug":"steganalysis","task_name":"Steganalysis"},{"task_slug":"high","task_name":"Vocal Bursts Intensity Prediction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1901.03892","atlas_url":"https://app.syntology.ai/?focus=1901.03892","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1901.03892"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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