On the public citation graph

Image splicing forgery detection by combining synthetic adversarial networks and hybrid dense U‐net based on multiple spaces

https://doi.org/10.1002/int.22939
0 signed · 92 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1002/int.22349openalex-snapshot
Camdar‐adv: Generating adversarial patches on 3D object
inferredcites →https://doi.org/10.1002/int.22625openalex-snapshot
An empirical study of supervised email classification in Internet of Things: Practical performance and key influencing factors
inferredcites →https://doi.org/10.1002/int.22680openalex-snapshot
ELAA: An efficient local adversarial attack using model interpreters
inferredcites →https://doi.org/10.1002/int.22785openalex-snapshot
A multitarget backdooring attack on deep neural networks with random location trigger
inferredcites →https://doi.org/10.1007/978-3-030-01252-6_7openalex-snapshot
Fighting Fake News: Image Splice Detection via Learned Self-Consistency
inferredcites →https://doi.org/10.1007/978-3-030-11012-3_21openalex-snapshot
Deep Fusion Network for Splicing Forgery Localization
inferredcites →https://doi.org/10.1007/978-3-030-62460-6_52openalex-snapshot
Querying Little Is Enough: Model Inversion Attack via Latent Information
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot
U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-540-77370-2_21openalex-snapshot
Exposing Digital Forgeries Through Specular Highlights on the Eye
inferredcites →https://doi.org/10.1007/s11042-015-3079-2openalex-snapshot
Image tamper detection based on noise estimation and lacunarity texture
inferredcites →https://doi.org/10.1007/s11042-016-3964-3openalex-snapshot
Forgery detection using feature-clustering in recompressed JPEG images
inferredcites →https://doi.org/10.1007/s13042-020-01240-1openalex-snapshot
Generating transferable adversarial examples based on perceptually-aligned perturbation
inferredcites →https://doi.org/10.1007/s13042-020-01242-zopenalex-snapshot
Adversarial examples: attacks and defenses in the physical world
inferredcites →https://doi.org/10.1016/j.ins.2019.09.038openalex-snapshot
Image splicing forgery detection combining coarse to refined convolutional neural network and adaptive clustering
inferredcites →https://doi.org/10.1016/j.ins.2020.03.066openalex-snapshot
Adversarial attacks on deep-learning-based radar range profile target recognition
inferredcites →https://doi.org/10.1016/j.ins.2020.09.064openalex-snapshot
PPCL: Privacy-preserving collaborative learning for mitigating indirect information leakage
inferredcites →https://doi.org/10.1016/j.ins.2021.01.046openalex-snapshot
MHAT: An efficient model-heterogenous aggregation training scheme for federated learning
inferredcites →https://doi.org/10.1016/j.jnca.2020.102632openalex-snapshot
Adversarial attacks on deep-learning-based SAR image target recognition
inferredcites →https://doi.org/10.1016/j.patcog.2009.03.019openalex-snapshot
Fast, automatic and fine-grained tampered JPEG image detection via DCT coefficient analysis
inferredcites →https://doi.org/10.1109/chinasip.2013.6625374openalex-snapshot
CASIA Image Tampering Detection Evaluation Database
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.243openalex-snapshot
Densely Connected Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2018.00116openalex-snapshot
Learning Rich Features for Image Manipulation Detection
inferredcites →https://doi.org/10.1109/cvpr.2019.00977openalex-snapshot
ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features
inferredcites →https://doi.org/10.1109/cvprw.2017.232openalex-snapshot
Tampering Detection and Localization Through Clustering of Camera-Based CNN Features
inferredcites →https://doi.org/10.1109/iccsa.2008.34openalex-snapshot
Detection of Resampling Supplemented with Noise Inconsistencies Analysis for Image Forensics
inferredcites →https://doi.org/10.1109/icip.2007.4379530openalex-snapshot
Noise Features for Image Tampering Detection and Steganalysis
inferredcites →https://doi.org/10.1109/icip.2009.5413549openalex-snapshot
Effective image splicing detection based on image chroma
inferredcites →https://doi.org/10.1109/icme.2006.262447openalex-snapshot
Detecting Image Splicing using Geometry Invariants and Camera Characteristics Consistency
inferredcites →https://doi.org/10.1109/icme.2007.4284574openalex-snapshot
Detecting Digital Image Forgeries by Measuring Inconsistencies of Blocking Artifact
inferredcites →https://doi.org/10.1109/icme46284.2020.9102825openalex-snapshot
Constrained R-Cnn: A General Image Manipulation Detection Model
inferredcites →https://doi.org/10.1109/icpr.2018.8545074openalex-snapshot
Boundary-based Image Forgery Detection by Fast Shallow CNN
inferredcites →https://doi.org/10.1109/jiot.2019.2905555openalex-snapshot
Lightweight Privacy-Preserving Ensemble Classification for Face Recognition
inferredcites →https://doi.org/10.1109/jiot.2019.2917933openalex-snapshot
Privacy-Preserving Outsourced Speech Recognition for Smart IoT Devices
inferredcites →https://doi.org/10.1109/tdsc.2017.2725953openalex-snapshot
Block Design-Based Key Agreement for Group Data Sharing in Cloud Computing
inferredcites →https://doi.org/10.1109/tdsc.2021.3050517openalex-snapshot
A Privacy-Preserving and Untraceable Group Data Sharing Scheme in Cloud Computing
inferredcites →https://doi.org/10.1109/tdsc.2021.3104842openalex-snapshot
RevFRF: Enabling Cross-Domain Random Forest Training With Revocable Federated Learning
inferredcites →https://doi.org/10.1109/tifs.2007.903848openalex-snapshot
Exposing Digital Forgeries in Complex Lighting Environments
inferredcites →https://doi.org/10.1109/tifs.2012.2187516openalex-snapshot
Image Forgery Localization via Block-Grained Analysis of JPEG Artifacts
inferredcites →https://doi.org/10.1109/tifs.2012.2190402openalex-snapshot
Rich Models for Steganalysis of Digital Images
inferredcites →https://doi.org/10.1109/tifs.2012.2223680openalex-snapshot
Robust Hashing for Image Authentication Using Zernike Moments and Local Features
inferredcites →https://doi.org/10.1109/tifs.2015.2407698openalex-snapshot
A Visual Model-Based Perceptual Image Hash for Content Authentication
inferredcites →https://doi.org/10.1109/tifs.2015.2485163openalex-snapshot
Robust Image Hashing With Ring Partition and Invariant Vector Distance
inferredcites →https://doi.org/10.1109/tifs.2016.2594136openalex-snapshot
Quaternion-Based Image Hashing for Adaptive Tampering Localization
inferredcites →https://doi.org/10.1109/tifs.2016.2636089openalex-snapshot
Multi-Scale Analysis Strategies in PRNU-Based Tampering Localization
inferredcites →https://doi.org/10.1109/tifs.2019.2916364openalex-snapshot
Noiseprint: A CNN-Based Camera Model Fingerprint
inferredcites →https://doi.org/10.1109/tifs.2019.2946476openalex-snapshot
Privacy-Preserving Object Detection for Medical Images With Faster R-CNN
inferredcites →https://doi.org/10.1109/tifs.2020.3025438openalex-snapshot
An Automatic Cost Learning Framework for Image Steganography Using Deep Reinforcement Learning
inferredcites →https://doi.org/10.1109/tii.2019.2946047openalex-snapshot
EmIr-Auth: Eye Movement and Iris-Based Portable Remote Authentication for Smart Grid
inferredcites →https://doi.org/10.1109/tip.2019.2895466openalex-snapshot
Hybrid LSTM and Encoder–Decoder Architecture for Detection of Image Forgeries
inferredcites →https://doi.org/10.1109/wifs.2015.7368565openalex-snapshot
Splicebuster: A new blind image splicing detector
inferredcites →https://doi.org/10.1109/wifs.2016.7823911openalex-snapshot
A deep learning approach to detection of splicing and copy-move forgeries in images
inferredcites →https://doi.org/10.1117/1.jei.25.2.023031openalex-snapshot
Efficient Markov feature extraction method for image splicing detection using maximization and threshold expansion
inferredcites →https://doi.org/10.1117/12.704321openalex-snapshot
Image splicing detection using 2-D phase congruency and statistical moments of characteristic function
inferredcites →https://doi.org/10.1145/2909827.2930786openalex-snapshot
A Deep Learning Approach to Universal Image Manipulation Detection Using a New Convolutional Layer
inferredcites →https://doi.org/10.1145/3206004.3206010openalex-snapshot
Image Forgery Localization based on Multi-Scale Convolutional Neural Networks
inferredcites →https://doi.org/10.1609/aaai.v34i07.7007openalex-snapshot
Generate, Segment, and Refine: Towards Generic Manipulation Segmentation

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-44210-0_14openalex-snapshot
Combining Edge-Guided Attention and Sparse-Connected U-Net for Detection of Image Splicing
inferred← citeshttps://doi.org/10.1007/978-3-031-46314-3_8openalex-snapshot
A Neural Network Model with the Ringed Residual Block and Attention Mechanism for Image Forgery Localization
inferred← citeshttps://doi.org/10.1007/978-981-95-9884-7_21openalex-snapshot
Edge-Enhanced Multi-Scale Fusion for Pixel-Level Image Tampering Localization
inferred← citeshttps://doi.org/10.1007/s00138-025-01706-8openalex-snapshot
DMU-Net: a dual stream multi-scale U-Net for image splicing forgery localization
inferred← citeshttps://doi.org/10.1007/s00530-025-01874-7openalex-snapshot
CCM-Net: image splicing localization network based on context-aware and cross-domain multi-scale fusion
inferred← citeshttps://doi.org/10.1007/s10489-023-05174-3openalex-snapshot
Cross-scale condition aggregation and iterative refinement for copy-move forgery detection
inferred← citeshttps://doi.org/10.1007/s11760-025-04320-3openalex-snapshot
Enhancing multiscale splicing forgery detection in images through RAMFF-net
inferred← citeshttps://doi.org/10.1007/s11760-025-04632-4openalex-snapshot
The dual-encoder image forgery detection integrating convolution and mamba
inferred← citeshttps://doi.org/10.1007/s11760-026-05370-xopenalex-snapshot
A lightweight dual-pathway model with multiscale fusion for robust image forgery detection
inferred← citeshttps://doi.org/10.1016/j.asoc.2024.111914openalex-snapshot
Image manipulation detection and localization using multi-scale contrastive learning
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.114121openalex-snapshot
Image splicing localization based on dual-stream spatial-noise learning and hierarchical frequency fusion
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.111656openalex-snapshot
EC-Net: General image tampering localization network based on edge distribution guidance and contrastive learning
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113033openalex-snapshot
Weakly-supervised cross-contrastive learning network for image manipulation detection and localization
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113970openalex-snapshot
Dual-stream and dual-branch generative adversarial network for image forgery localization
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.129471openalex-snapshot
UFG-Net: Uncertainty and frequency guided network for image forgery localization
inferred← citeshttps://doi.org/10.1016/j.neunet.2026.108813openalex-snapshot
RIFoL: A robust image forgery localization network for noisy images
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.112002openalex-snapshot
Image splicing localization method driven by device difference feature guidance
inferred← citeshttps://doi.org/10.1016/j.patter.2024.101038openalex-snapshot
Exposing image splicing traces in scientific publications via uncertainty-guided refinement
inferred← citeshttps://doi.org/10.1109/access.2024.3521290openalex-snapshot
Ensemble Approach for Image Recompression-Based Forgery Detection
inferred← citeshttps://doi.org/10.1109/adics58448.2024.10533553openalex-snapshot
Fine – Grained Forgery Localization in Images Using CNN - SVM Approach
inferred← citeshttps://doi.org/10.1109/ddcls61622.2024.10606650openalex-snapshot
HFRRU-Net: Hybrid Features Ringed Residual U-Net for Image Splicing Forgery Detection
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11465126openalex-snapshot
Transwnet: Dual-Stream Hierarchical Feature Integrated Network for Image Forgery Localization
inferred← citeshttps://doi.org/10.1109/icicml63543.2024.10957875openalex-snapshot
MMFA-Net: Multi-Modal Feature Learning and Multi-Head Fuse Attention for Image Manipulation Detection and Localization
inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191388openalex-snapshot
CSARUNet: an attention mechanism-based model for image tampering localization with ringed residual block
inferred← citeshttps://doi.org/10.1109/lsp.2023.3279018openalex-snapshot
TBFormer: Two-Branch Transformer for Image Forgery Localization
inferred← citeshttps://doi.org/10.1109/lsp.2024.3442089openalex-snapshot
SLRID: A Robust Image Tampering Localization Framework for Extremely Scaled Forgery Images
inferred← citeshttps://doi.org/10.1109/tcsvt.2023.3289171openalex-snapshot
MFI-Net: Multi-Feature Fusion Identification Networks for Artificial Intelligence Manipulation
inferred← citeshttps://doi.org/10.1109/tii.2024.3359454openalex-snapshot
DPMSN: A Dual-Pathway Multiscale Network for Image Forgery Detection
inferred← citeshttps://doi.org/10.1109/tim.2023.3300434openalex-snapshot
Multiscale Attention Network for Detection and Localization of Image Splicing Forgery
inferred← citeshttps://doi.org/10.1111/1556-4029.70033openalex-snapshot
CMV2U ‐Net: A U‐shaped network with edge‐weighted features for detecting and localizing image splicing
inferred← citeshttps://doi.org/10.1117/1.jei.32.6.063010openalex-snapshot
End-to-end image splicing localization based on multi-scale features and residual refinement module
inferred← citeshttps://doi.org/10.1145/3647649.3647701openalex-snapshot
ME: Multi-Task Edge-Enhanced for Image Forgery Localization
inferred← citeshttps://doi.org/10.2139/ssrn.7593341openalex-snapshot
WEBIMAGESHEPHERD: A Lightweight Framework for Robust Forgery Localization under Website Image Attacks
inferred← citeshttps://doi.org/10.3390/electronics13193919openalex-snapshot
CECL-Net: Contrastive Learning and Edge-Reconstruction-Driven Complementary Learning Network for Image Forgery Localization
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.