Browse State-of-the-Art › Steganalysis
Steganalysis
38 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Detect the usage of Steganography
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
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Subtasks archive 2025-07-28
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Most implemented papers archive 2025-07-28
30 shown of 38 papers with code (96 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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12 Jan 2019 5 repositories listed Syntology ran 0 of 1 samples · 1 unverifiedImage steganography is a procedure for hiding messages inside pictures.
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15 Oct 2020 2 repositories listedThe first challenge is addressed by the use of a convolutional network that learns a multi-class semantic segmentation of the image.
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13 Nov 2019 2 repositories listedThe availability of large-scale facial databases, together with the remarkable progresses of deep learning technologies, in particular Generative Adversarial Networks (GANs), have led to the generation of extremely…
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23 Sep 2018 2 repositories listedSteganography detectors built as deep convolutional neural networks have firmly established themselves as superior to the previous detection paradigm - classifiers based on rich media models.
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13 May 2018 2 repositories listed Syntology ran 3 of 8 samples · 5 unverifiedImage manipulation detection is different from traditional semantic object detection because it pays more attention to tampering artifacts than to image content, which suggests that richer features need to be learned.
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20 May 2025 1 repository listedGSDFuse employs a holistic approach, synergistically integrating hierarchical multi-modal feature engineering to capture diverse signals, strategic data augmentation to address sparsity, adaptive evidence fusion to…
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23 Apr 2025 1 repository listedIn recent years, a large number of works have introduced Convolutional Neural Networks (CNNs) into image steganography, which transform traditional steganography methods such as hand-crafted features and prior knowledge…
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16 Mar 2025 1 repository listedIn this paper, we introduce SCREEDSOLO, a novel framework for concealing arbitrary binary data within images.
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20 Nov 2024 1 repository listedUltimately, this method effectively address the detection difficulty in VoIP.
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8 Sep 2024 1 repository listedSteganalysis, on the contrary, aims to detect the presence of secret messages within images.
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16 Jul 2024 1 repository listedImage steganography is the process of hiding secret data in a cover image by subtle perturbation.
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15 Jul 2024 1 repository listed Syntology ran 1 of 3 samples · 2 unverified · 3 pointer-only (licence)Traditional image steganography focuses on concealing one image within another, aiming to avoid steganalysis by unauthorized entities.
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21 Jun 2024 1 repository listedThe orientation in which a source image is captured can affect the resulting security in downstream applications.
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29 Feb 2024 1 repository listedThis challenge arises because convolutional operations struggle to preserve the sequential order of message bits and effectively address the discrepancy between these two modalities.
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28 Jan 2024 1 repository listedThen, this scheme uses the idea of the roulette wheel and takes the CPs of tokens as the main basis for allocating the roulette area (i.
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6 Oct 2023 1 repository listedBy exploring a grid of processing pipelines fostering CSM, we discovered a geometrical metric based on the chordal distance between subspaces spanned by DCTr features, that exhibits high correlation with operational…
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23 Sep 2023 1 repository listedTo mitigate the shortcomings of steganalysis, this work focuses on a deep learning sanitization technique called SUDS that is not reliant upon knowledge of steganographic hiding techniques and is able to sanitize…
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11 Aug 2023 1 repository listedFirstly, we propose a secure token-selection principle that the sum of selected tokens' probabilities is positively correlated to statistical imperceptibility.
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11 Jul 2023 1 repository listedThis framework directly learns universal costs that can be applied to any payload.
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22 Feb 2023 1 repository listedIn this paper, we study the performance invariance of convolutional neural networks when confronted with variable image sizes in the context of a more "wild steganalysis".
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7 Nov 2022 1 repository listedWithin an operational framework, covers used by a steganographer are likely to come from different sensors and different processing pipelines than the ones used by researchers for training their steganalysis models.
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12 Jun 2022 1 repository listedWe propose a normalized distortion threshold to evaluate the sensitivity of each involved convolutional layer of the base model to guide STD-NET to compress target network in an efficient and unsupervised approach, and…
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1 Jan 2022 1 repository listedConventional steganography approaches embed a secret message into a carrier for concealed communication but are prone to attack by recent advanced steganalysis tools.
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29 Sep 2021 1 repository listedRecent attempts at image steganography make use of advances in deep learning to train an encoder-decoder network pair to hide and retrieve secret messages in images.
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30 Jul 2020 1 repository listedOn the assumption that natural image noise is similar between different image sub-regions, we propose an end-to-end, deep learning, novel solution for distinguishing steganography images from normal images that provides…
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30 Jun 2020 1 repository listedConvolutional neural networks (CNN) for image steganalysis demonstrate better performances with employing concepts from high-level vision tasks.
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20 Dec 2019 1 repository listedDigital image steganalysis, or the detection of image steganography, has been studied in depth for years and is driven by Advanced Persistent Threat (APT) groups', such as APT37 Reaper, utilization of steganographic…
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13 Nov 2019 1 repository listedWe hope that this test set can help to evaluate the robustness of steganalysis algorithms.
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1 Sep 2019 1 repository listedTraditional image steganography techniques hide the secret image intohigh-frequency regions of the cover images.
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22 Aug 2019 1 repository listedExisting CNN architectures use various tricks to improve the performance of steganalysis, such as fixed convolutional kernels, the absolute value layer, data augmentation and the domain knowledge.
Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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