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Steganographer Detection via Multi-Scale Embedding Probability Estimation

https://doi.org/10.1145/3352691
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/sec.1734openalex-snapshot
Content‐adaptive steganalysis for color images
inferredcites →https://doi.org/10.1007/11558859_16openalex-snapshot
Efficient Wet Paper Codes
inferredcites →https://doi.org/10.1007/978-3-319-64185-0_20openalex-snapshot
Steganalysis Based on Awareness of Selection-Channel and Deep Learning
inferredcites →https://doi.org/10.1007/978-3-642-24178-9_5openalex-snapshot
”Break Our Steganographic System”: The Ins and Outs of Organizing BOSS
inferredcites →https://doi.org/10.1007/s11042-014-2381-8openalex-snapshot
Steganalysis of LSB matching using differences between nonadjacent pixels
inferredcites →https://doi.org/10.1007/s11042-017-4440-4openalex-snapshot
Deep residual learning for image steganalysis
inferredcites →https://doi.org/10.1007/s11042-017-5326-1openalex-snapshot
Feature learning for steganalysis using convolutional neural networks
inferredcites →https://doi.org/10.1007/s11042-018-6582-4openalex-snapshot
Side Channel Steganalysis: When Behavior is Considered in Steganographer Detection
inferredcites →https://doi.org/10.1007/s12083-017-0603-3openalex-snapshot
Efficient steganographer detection over social networks with sampling reconstruction
inferredcites →https://doi.org/10.1016/j.neucom.2016.10.073openalex-snapshot
Online object tracking based on CNN with spatial-temporal saliency guided sampling
inferredcites →https://doi.org/10.1016/j.sigpro.2013.01.014openalex-snapshot
Application of hypothesis testing theory for optimal detection of LSB matching data hiding
inferredcites →https://doi.org/10.1038/nprot.2008.221openalex-snapshot
A protocol for isolation and culture of mesenchymal stem cells from mouse bone marrow
inferredcites →https://doi.org/10.1109/cvpr.1993.341010openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr.2009.5206596openalex-snapshot
Frequency-tuned salient region detection
inferredcites →https://doi.org/10.1109/cvpr.2017.65openalex-snapshot
Deep Level Sets for Salient Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2017.698openalex-snapshot
Non-local Deep Features for Salient Object Detection
inferredcites →https://doi.org/10.1109/icip.2018.8451835openalex-snapshot
Billboard Saliency Detection in Street Videos for Adults and Elderly
inferredcites →https://doi.org/10.1109/icme.2017.8019320openalex-snapshot
Steganographer detection via deep residual network
inferredcites →https://doi.org/10.1109/lsp.2016.2548421openalex-snapshot
Structural Design of Convolutional Neural Networks for Steganalysis
inferredcites →https://doi.org/10.1109/lsp.2017.2745572openalex-snapshot
Automatic Steganographic Distortion Learning Using a Generative Adversarial Network
inferredcites →https://doi.org/10.1109/tifs.2008.2002936openalex-snapshot
Multiclass Detector of Current Steganographic Methods for JPEG Format
inferredcites →https://doi.org/10.1109/tifs.2010.2077629openalex-snapshot
Gibbs Construction in Steganography
inferredcites →https://doi.org/10.1109/tifs.2012.2190402openalex-snapshot
Rich Models for Steganalysis of Digital Images
inferredcites →https://doi.org/10.1109/tifs.2014.2336380openalex-snapshot
The Steganographer is the Outlier: Realistic Large-Scale Steganalysis
inferredcites →https://doi.org/10.1109/tifs.2015.2486744openalex-snapshot
Content-Adaptive Steganography by Minimizing Statistical Detectability
inferredcites →https://doi.org/10.1109/tifs.2015.2496910openalex-snapshot
Steganalysis Over Large-Scale Social Networks With High-Order Joint Features and Clustering Ensembles
inferredcites →https://doi.org/10.1109/tifs.2015.2507159openalex-snapshot
Adaptive Steganalysis Based on Embedding Probabilities of Pixels
inferredcites →https://doi.org/10.1109/tifs.2016.2555281openalex-snapshot
Steganalysis Features for Content-Adaptive JPEG Steganography
inferredcites →https://doi.org/10.1109/tifs.2017.2710946openalex-snapshot
Deep Learning Hierarchical Representations for Image Steganalysis
inferredcites →https://doi.org/10.1109/tip.2017.2657886openalex-snapshot
Comments on “Steganography Using Reversible Texture Synthesis”
inferredcites →https://doi.org/10.1109/tmm.2010.2051243openalex-snapshot
A Framework of Enhancing Image Steganography With Picture Quality Optimization and Anti-Steganalysis Based on Simulated Annealing Algorithm
inferredcites →https://doi.org/10.1109/tmm.2011.2170556openalex-snapshot
A Novel Large-Scale Digital Forensics Service Platform for Internet Videos
inferredcites →https://doi.org/10.1109/tmm.2014.2375793openalex-snapshot
Cross-Domain Feature Learning in Multimedia
inferredcites →https://doi.org/10.1109/tmm.2018.2838334openalex-snapshot
Robust Coverless Image Steganography Based on DCT and LDA Topic Classification
inferredcites →https://doi.org/10.1109/tpami.2010.70openalex-snapshot
Learning to Detect a Salient Object
inferredcites →https://doi.org/10.1109/tpami.2018.2815688openalex-snapshot
Deeply Supervised Salient Object Detection with Short Connections
inferredcites →https://doi.org/10.1109/tsp.2011.2174231openalex-snapshot
Adaptive Steganalysis of Least Significant Bit Replacement in Grayscale Natural Images
inferredcites →https://doi.org/10.1109/wifs.2012.6412655openalex-snapshot
Designing steganographic distortion using directional filters
inferredcites →https://doi.org/10.1109/wifs.2014.7084302openalex-snapshot
Selection-channel-aware rich model for Steganalysis of digital images
inferredcites →https://doi.org/10.1117/12.697471openalex-snapshot
Practical methods for minimizing embedding impact in steganography
inferredcites →https://doi.org/10.1145/2361407.2361409openalex-snapshot
Batch steganography in the real world
inferredcites →https://doi.org/10.1145/2535555openalex-snapshot
Mesh Discriminative Features for 3D Steganalysis
inferredcites →https://doi.org/10.1145/2600918.2600935openalex-snapshot
Adaptive steganalysis against WOW embedding algorithm
inferredcites →https://doi.org/10.1145/2600918.2600942openalex-snapshot
Predictable rain?
inferredcites →https://doi.org/10.1145/3077140openalex-snapshot
Secure Cloud-Based Image Tampering Detection and Localization Using POB Number System
inferredcites →https://doi.org/10.1145/3190575openalex-snapshot
Improved Audio Steganalytic Feature and Its Applications in Audio Forensics
inferredcites →https://doi.org/10.1145/3206025.3206031openalex-snapshot
Steganographer Detection based on Multiclass Dilated Residual Networks
inferredcites →https://doi.org/10.1145/342009.335388openalex-snapshot
LOF
inferredcites →https://doi.org/10.1155/2017/3407642openalex-snapshot
Quantitative Method for Network Security Situation Based on Attack Prediction
inferredcites →https://doi.org/10.1186/1687-417x-2014-1openalex-snapshot
Universal distortion function for steganography in an arbitrary domain
inferredcites →https://doi.org/10.2352/issn.2470-1173.2016.8.mwsf-078openalex-snapshot
Deep learning is a good steganalysis tool when embedding key is reused for different images, even if there is a cover sourcemismatch
inferredcites →https://doi.org/10.7551/mitpress/7503.003.0069openalex-snapshot
A Kernel Method for the Two-Sample-Problem

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-85928-2_17openalex-snapshot
MSCNN: Steganographer Detection Based on Multi-Scale Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.115129openalex-snapshot
Aggregated text steganalysis toward social network based on efficient multi-perspective feature fusion
inferred← citeshttps://doi.org/10.1109/acait63902.2024.11021857openalex-snapshot
A Graph-Based Multiple Instance Learning Framework for Steganographer Identification
inferred← citeshttps://doi.org/10.1109/pic50277.2020.9350836openalex-snapshot
ISC : Steganographer Detection Based on Internal Spectral Clustering
inferred← citeshttps://doi.org/10.1109/pic53636.2021.9687072openalex-snapshot
A Lightweight Embedding Probability Estimation Algorithm Based on LBP for Adaptive Steganalysis
inferred← citeshttps://doi.org/10.1145/3446208openalex-snapshot
Alignment Enhancement Network for Fine-grained Visual Categorization
inferred← citeshttps://doi.org/10.1145/3460426.3463659openalex-snapshot
Bag of Tricks for Building an Accurate and Slim Object Detector for Embedded Applications
inferred← citeshttps://doi.org/10.1145/3466780openalex-snapshot
LogoDet-3K: A Large-scale Image Dataset for Logo Detection
inferred← citeshttps://doi.org/10.32604/cmc.2024.055735openalex-snapshot
Digital Image Steganographer Identification: A Comprehensive Survey
inferred← citeshttps://doi.org/10.48550/arxiv.2010.10140openalex-snapshot
Constructing feature variation coefficients to evaluate feature learning capabilities of convolutional layers in steganographic detection algorithms of spatial domain
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