On the public citation graph
A Hybrid CNN-LSTM Approach for Precision Deepfake Image Detection Based on Transfer Learning
0 signed · 102 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.
1 of the 38 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1155/2021/3111676 (notice 2023-11-29).
Dataset join, best-effort; this page does not check the publisher record. Retraction Watch data via Crossref Labs, used with credit; OpenCitations Index (CC0) and Meta (CC BY 4.0); dataset doi:10.7910/DVN/WT8VOA (CC BY 4.0).
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-58545-7openalex-snapshot
Computer Vision – ECCV 2020
inferredcites →https://doi.org/10.1007/978-3-642-41181-6_75openalex-snapshot
On the Impact of Alterations on Face Photo Recognition Accuracy
inferredcites →https://doi.org/10.1007/s11263-022-01606-8openalex-snapshot
Countering Malicious DeepFakes: Survey, Battleground, and Horizon
inferredcites →https://doi.org/10.1016/j.bushor.2019.11.006openalex-snapshot
Deepfakes: Trick or treat?
inferredcites →https://doi.org/10.1016/j.intell.2017.10.005openalex-snapshot
‘Fake news’: Incorrect, but hard to correct. The role of cognitive ability on the impact of false information on social impressions
inferredcites →https://doi.org/10.1016/j.procs.2017.11.106openalex-snapshot
The current state of fake news: challenges and opportunities
inferredcites →https://doi.org/10.1108/lhtn-10-2017-0073openalex-snapshot
Getting acquainted with social networks and apps: Social Media in 2017
inferredcites →https://doi.org/10.1109/access.2019.2905689openalex-snapshot
Combating Deepfake Videos Using Blockchain and Smart Contracts
inferredcites →https://doi.org/10.1109/avss.2018.8639163openalex-snapshot
Deepfake Video Detection Using Recurrent Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00505openalex-snapshot
Face X-Ray for More General Face Forgery Detection
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00581openalex-snapshot
Editing in Style: Uncovering the Local Semantics of GANs
inferredcites →https://doi.org/10.1109/cvprw.2019.00008openalex-snapshot
Evading Face Recognition via Partial Tampering of Faces
inferredcites →https://doi.org/10.1109/icb45273.2019.8987375openalex-snapshot
Vulnerability assessment and detection of Deepfake videos
inferredcites →https://doi.org/10.1109/iccv.2019.00955openalex-snapshot
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
inferredcites →https://doi.org/10.1109/iccvw.2019.00152openalex-snapshot
Deepfake Video Detection through Optical Flow Based CNN
inferredcites →https://doi.org/10.1109/icpr48806.2021.9413347openalex-snapshot
Detection of Makeup Presentation Attacks based on Deep Face Representations
inferredcites →https://doi.org/10.1109/ijcb52358.2021.9484363openalex-snapshot
On the use of automatically generated synthetic image datasets for benchmarking face recognition
inferredcites →https://doi.org/10.1109/slt48900.2021.9383529openalex-snapshot
Defending Your Voice: Adversarial Attack on Voice Conversion
inferredcites →https://doi.org/10.1109/tifs.2022.3169921openalex-snapshot
Detect and Locate: Exposing Face Manipulation by Semantic- and Noise-Level Telltales
inferredcites →https://doi.org/10.1109/tifs.2023.3332218openalex-snapshot
Beyond the Prior Forgery Knowledge: Mining Critical Clues for General Face Forgery Detection
inferredcites →https://doi.org/10.1109/wacv48630.2021.00339openalex-snapshot
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples
inferredcites →https://doi.org/10.1145/3397482.3450726openalex-snapshot
FakeBuster: A DeepFakes Detection Tool for Video Conferencing Scenarios
inferredcites →https://doi.org/10.1145/3425780openalex-snapshot
The Creation and Detection of Deepfakes
inferredcites →https://doi.org/10.1155/2021/3111676openalex-snapshot
[Retracted] Comparative Analysis of Deepfake Image Detection Method Using Convolutional Neural Network
inferredcites →https://doi.org/10.1177/1365712718807226openalex-snapshot
Determining authenticity of video evidence in the age of artificial intelligence and in the wake of Deepfake videos
inferredcites →https://doi.org/10.1177/1461444820925811openalex-snapshot
Anticipating and Addressing the Ethical Implications of Deepfakes in the Context of Elections
inferredcites →https://doi.org/10.1609/aaai.v36i2.20130openalex-snapshot
Dual Contrastive Learning for General Face Forgery Detection
inferredcites →https://doi.org/10.23919/biosig.2017.8053499openalex-snapshot
Biometric Systems under Morphing Attacks: Assessment of Morphing Techniques and Vulnerability Reporting
inferredcites →https://doi.org/10.24868/icmet.oman.2019.028openalex-snapshot
Autonomous Ship Navigation Methods: A Review
inferredcites →https://doi.org/10.3390/app12199820openalex-snapshot
A Novel Deep Learning Approach for Deepfake Image Detection
inferredcites →https://doi.org/10.3390/computers12050091openalex-snapshot
Understanding of Machine Learning with Deep Learning: Architectures, Workflow, Applications and Future Directions
inferredcites →https://doi.org/10.3390/electronics12010232openalex-snapshot
A Deep Learning-Based Phishing Detection System Using CNN, LSTM, and LSTM-CNN
inferredcites →https://doi.org/10.3390/en16227675openalex-snapshot
Optimized Distributed Cooperative Control for Islanded Microgrid Based on Dragonfly Algorithm
inferredcites →https://doi.org/10.3390/en16247953openalex-snapshot
Droop Control Optimization for Improved Power Sharing in AC Islanded Microgrids Based on Centripetal Force Gravity Search Algorithm
inferredcites →https://doi.org/10.3390/s22239121openalex-snapshot
Detection of Image Level Forgery with Various Constraints Using DFDC Full and Sample Datasets
inferredcites →https://doi.org/10.48550/arxiv.2305.10794openalex-snapshot
Multi-spectral Class Center Network for Face Manipulation Detection and Localization
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/widm.70087openalex-snapshot
Combating Digital Deception: A Taxonomical and Systematic Review of Deepfake Detection Approaches
inferred← citeshttps://doi.org/10.1007/978-3-032-07343-3_18openalex-snapshot
Detecting StyleGAN-Generated Deepfake Faces with Vision Transformers and Latent Attention
inferred← citeshttps://doi.org/10.1007/978-3-032-26898-3_25openalex-snapshot
DeepFake Detection Through Analysis of Unnatural Facial Feature Movements
inferred← citeshttps://doi.org/10.1007/978-3-032-31233-4_33openalex-snapshot
Deepfake Face Detection Using an Ensemble of Multiple Deep Learning Models
inferred← citeshttps://doi.org/10.1007/978-981-95-1394-9_3openalex-snapshot
A Cross-Architecture Evaluation: CNN, LSTM, GANs, and Transformer Models for DeepFake Detection
inferred← citeshttps://doi.org/10.1007/978-981-95-2878-3_20openalex-snapshot
Enhanced Human Flow Experience Recognition with LSTM Model Using Physiological Signals
inferred← citeshttps://doi.org/10.1007/978-981-96-4319-6_32openalex-snapshot
ImageShield: Generalized DL Techniques for AI-Generated Deepfakes Image Detection
inferred← citeshttps://doi.org/10.1007/978-981-96-8563-9_49openalex-snapshot
Comparative Analysis of Multimodal Deepfake Detection Methods with Hybrid CNN-LSTM Model
inferred← citeshttps://doi.org/10.1007/978-981-96-9184-5_10openalex-snapshot
Deepfake Image Detection Using Hybrid Deep Learning Techniques
inferred← citeshttps://doi.org/10.1007/s11042-026-21458-5openalex-snapshot
Does data augmentation help or hinder the generalization of deepfake video detection?
inferred← citeshttps://doi.org/10.1007/s12083-025-02048-yopenalex-snapshot
The future of misinformation control: integrating advanced algorithms and Blockchain for effective Deepfake detection
inferred← citeshttps://doi.org/10.1007/s42452-025-08014-wopenalex-snapshot
Deepfake detection via spatial–temporal deep networks: leveraging CNNs and LSTMs for enhanced accuracy
inferred← citeshttps://doi.org/10.1016/j.aej.2024.10.076openalex-snapshot
SLM-DFS: A systematic literature map of deepfake spread on social media
inferred← citeshttps://doi.org/10.1016/j.aej.2025.12.001openalex-snapshot
CCFormer: A cascaded transformer framework for precise temporal audio-visual deepfake localization
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2025.110423openalex-snapshot
MDR-LOD2 Model: Forgery Detection using Modified Depth ResNet features and Layer Optimized Dunnock Deep Model from Videos
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114838openalex-snapshot
SFD-ViT: Spatial-Frequency dual-Stream transformer with patch embedding for face forgery detection
inferred← citeshttps://doi.org/10.1049/elp2.70201openalex-snapshot
TSAF‐Net: An Interpretable Multi‐Domain DGA Framework for Transformer Fault Diagnosis and Failure Prognostics
inferred← citeshttps://doi.org/10.1049/ipr2.70132openalex-snapshot
A Survey on Face‐Swapping Methods for Identity Manipulation in Deepfake Applications
inferred← citeshttps://doi.org/10.1109/access.2025.3533653openalex-snapshot
BMNet: Enhancing Deepfake Detection Through BiLSTM and Multi-Head Self-Attention Mechanism
inferred← citeshttps://doi.org/10.1109/access.2025.3645769openalex-snapshot
DeFaX: A Cross-Attention Fusion Framework for Robust and Explainable Deepfake Detection
inferred← citeshttps://doi.org/10.1109/acit65614.2025.11185646openalex-snapshot
Detecting Deepfake Audio and Video Manipulation with Multimodal Deep Learning
inferred← citeshttps://doi.org/10.1109/apcit65661.2025.11410621openalex-snapshot
FaceTrace: Leveraging Motion Patterns for Deepfake Video Authentication
inferred← citeshttps://doi.org/10.1109/cicn67655.2025.11368087openalex-snapshot
A Hierarchical Multimodal Framework for Robust Deepfake Detection Using Spatial, Temporal, and Physiological Cues
inferred← citeshttps://doi.org/10.1109/edct65302.2025.11496251openalex-snapshot
Identification and Interpretation of Deepfake Images Using Transfer Learning and XAI Model
inferred← citeshttps://doi.org/10.1109/globalaisummit62156.2024.10947978openalex-snapshot
A Comprehensive Review of Deepfake Detection In Advanced Neural Network Architectures and Deep Learning Strategies
inferred← citeshttps://doi.org/10.1109/i3ctcon68242.2026.11507503openalex-snapshot
Evaluating Cross-Dataset Robustness of Video Deepfake Detection Models
inferred← citeshttps://doi.org/10.1109/ic-cgu67042.2025.11338102openalex-snapshot
TriFusionNet: Multi-Branch Architecture for AI-Generated Image Detection
inferred← citeshttps://doi.org/10.1109/icacrs67045.2025.11324229openalex-snapshot
A Hybrid Deep Learning Model for Deepfake Video Detection
inferred← citeshttps://doi.org/10.1109/iccr67387.2025.11291973openalex-snapshot
Root Cause Debugging of Financial Forecast Failures Using Attention-Augmented LSTM and Local Interpretable Model Explanations (LIME)
inferred← citeshttps://doi.org/10.1109/icdiss68238.2025.11320734openalex-snapshot
DeepFake Detection Using YOLOv5 Feature Extraction and Classification on the Celeb-DF Dataset
inferred← citeshttps://doi.org/10.1109/icdsbs63635.2025.11032058openalex-snapshot
Comparative Study on the Performance of Auto Encoders in Detecting Deep Fake Images
inferred← citeshttps://doi.org/10.1109/icdsinc66221.2025.11448229openalex-snapshot
Comparative Analysis of CNN Architectures for Detecting Artificially Generated Images Using Hybrid Feature Extraction
inferred← citeshttps://doi.org/10.1109/iceca66444.2025.11382545openalex-snapshot
Towards Tamper-Resistant Digital Media: An AI and Blockchain Approach for Deepfake Detection
inferred← citeshttps://doi.org/10.1109/iceca66444.2025.11382675openalex-snapshot
Deepfake Detection in the Era of AI: Insights into Detection Performance and Model Interpretability
inferred← citeshttps://doi.org/10.1109/icefeet64463.2024.10866324openalex-snapshot
From Inception to Efficiency: Evaluating State-of-the-Art CNNs for Fake Currency Identification
inferred← citeshttps://doi.org/10.1109/icerect65215.2025.11377109openalex-snapshot
Hybrid Swin Transformer–EfficientNetV2 Model for Robust and Explainable Deepfake Detection
inferred← citeshttps://doi.org/10.1109/icic68054.2025.11309509openalex-snapshot
ResNet Model for Classifying Teachers' Pursuit Styles in the Classroom
inferred← citeshttps://doi.org/10.1109/icicat68430.2025.11414686openalex-snapshot
Designing An AI-Driven Deepfake Detection System Using CNN, RNN and Temporal Analysis Based Deep Learning Techniques
inferred← citeshttps://doi.org/10.1109/icici68867.2026.11564880openalex-snapshot
Multi-Headed Attention-based Parallel Convolution Neural Network for Deepfake Image Detection
inferred← citeshttps://doi.org/10.1109/icimtech202671078.2026.11698933openalex-snapshot
Deepfake Detection: A Trade-Off Between CNN Accuracy and Vision Transformer Sensitivity
inferred← citeshttps://doi.org/10.1109/icmlas67792.2026.11483887openalex-snapshot
Hybrid-Forensics: A Dual-Stream Deepfake Detection Framework via Spectral-Spatial DenseNet and Temporal ResNeXt-LSTM
inferred← citeshttps://doi.org/10.1109/icmnwc66779.2025.11354178openalex-snapshot
EfficientNet and Vision Transformer Fusion for High-Precision Deepfake Image Identification
inferred← citeshttps://doi.org/10.1109/icmnwc66779.2025.11354435openalex-snapshot
Empirical Research on Facial Deepfake Detection: Taxonomy, Challenges, and Future Directions
inferred← citeshttps://doi.org/10.1109/icoailo66760.2025.11156046openalex-snapshot
ResNeXt-50 and LSTM for Deepfake Detection
inferred← citeshttps://doi.org/10.1109/icsadl65848.2025.10933116openalex-snapshot
Image Search Engine with Recognition
inferred← citeshttps://doi.org/10.1109/ignite69592.2026.11706311openalex-snapshot
Deepfake Detection Using a Lightweight Hybrid Spatial–Temporal Framework
inferred← citeshttps://doi.org/10.1109/jproc.2025.3576367openalex-snapshot
Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection
inferred← citeshttps://doi.org/10.1109/nmitcon65824.2025.11187958openalex-snapshot
Transfer Learning-Enhanced CNN-LSTM Model for Banana Plant Disease Detection
inferred← citeshttps://doi.org/10.1109/nmitcon65824.2025.11188219openalex-snapshot
Deepfaceguard: A Lightweight CNN Framework for Robust Face Manipulation Detection
inferred← citeshttps://doi.org/10.1109/rcsm67767.2025.11506882openalex-snapshot
Detection of Deepfake Image Tampering using Self-supervised and Adversarial Feature Similarity Learning
inferred← citeshttps://doi.org/10.1515/jncds-2025-0081openalex-snapshot
Cloak before it’s fake: a comprehensive review of deepfake prevention and a novel conceptual cloaking framework
inferred← citeshttps://doi.org/10.21203/rs.3.rs-10506993/v1openalex-snapshot
Hybrid Neural Radiance Fields and Diffusion-Based Framework for Geometry-Preserving Selfie Perspective
inferred← citeshttps://doi.org/10.21203/rs.3.rs-9433893/v1openalex-snapshot
A Facial Reenactment Inconsistency- Aware Interpretable Deepfake Image Identification Using DVPWT and SETCR2sC2N
inferred← citeshttps://doi.org/10.3389/frai.2026.1810912openalex-snapshot
DeepForgeryNet: a hybrid CNN–LSTM and transfer learning framework for robust image forgery and deepfake detection
inferred← citeshttps://doi.org/10.3390/app14219754openalex-snapshot
An Investigation into the Utilisation of CNN with LSTM for Video Deepfake Detection
inferred← citeshttps://doi.org/10.3390/app16073450openalex-snapshot
AT-HSTNet: An Efficient Hierarchical Action-Transformer Framework for Deepfake Video Detection
inferred← citeshttps://doi.org/10.3390/cryptography10020015openalex-snapshot
Performance Evaluation of NIST-Standardized Post-Quantum and Symmetric Ciphers for Mitigating Deepfakes
inferred← citeshttps://doi.org/10.3390/math12172794openalex-snapshot
A Novel Hybrid Model (EMD-TI-LSTM) for Enhanced Financial Forecasting with Machine Learning
inferred← citeshttps://doi.org/10.3390/math13050887openalex-snapshot
A Comparative Analysis of Compression and Transfer Learning Techniques in DeepFake Detection Models
inferred← citeshttps://doi.org/10.3390/s25030788openalex-snapshot
FL-TENB4: A Federated-Learning-Enhanced Tiny EfficientNetB4-Lite Approach for Deepfake Detection in CCTV Environments
inferred← citeshttps://doi.org/10.3390/s25247608openalex-snapshot
Audio Deepfake Detection via a Fuzzy Dual-Path Time-Frequency Attention Network
inferred← citeshttps://doi.org/10.65141/ject.v2i1.n3openalex-snapshot
Deepfake Speech Detection: Identifying AI-Generated and Real Human Voices Using Hybrid Convolutional Neural Network and Long Short-Term Memory Model
inferred← citeshttps://doi.org/10.69639/arandu.v12i3.1443openalex-snapshot
Impacto de los deepfakes en la confianza pública y la credibilidad de los medios de comunicación una revisión sistemática
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.