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DeepFake detection against adversarial examples based on D‐VAEGAN

https://doi.org/10.1049/ipr2.12973
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1 of the 36 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1007/s13204-021-02072-3 (notice 2024-01-10).

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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/int.22499openalex-snapshot
A lightweight 3D convolutional neural network for deepfake detection
inferredcites →https://doi.org/10.1007/978-3-030-58565-5_46openalex-snapshot
Learning Latent Representations Across Multiple Data Domains Using Lifelong VAEGAN
inferredcites →https://doi.org/10.1007/978-3-319-94042-7_11openalex-snapshot
Adversarial Attacks and Defences Competition
inferredcites →https://doi.org/10.1007/s13204-021-02072-3openalex-snapshot
RETRACTED ARTICLE: Deepfake detection using rationale-augmented convolutional neural network
inferredcites →https://doi.org/10.1016/j.eswa.2022.118423openalex-snapshot
ViXNet: Vision Transformer with Xception Network for deepfakes based video and image forgery detection
inferredcites →https://doi.org/10.1016/j.patcog.2023.109628openalex-snapshot
Deepfacelab: Integrated, flexible and extensible face-swapping framework
inferredcites →https://doi.org/10.1109/cvpr.2016.262openalex-snapshot
Face2Face: Real-Time Face Capture and Reenactment of RGB Videos
inferredcites →https://doi.org/10.1109/cvpr.2016.282openalex-snapshot
DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2016.308openalex-snapshot
Rethinking the Inception Architecture for Computer Vision
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00034openalex-snapshot
A Self-supervised Approach for Adversarial Robustness
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00129openalex-snapshot
Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00222openalex-snapshot
Multi-attentional Deepfake Detection
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00250openalex-snapshot
MaxUp: Lightweight Adversarial Training with Data Augmentation Improves Neural Network Training
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00337openalex-snapshot
Evading Deepfake-Image Detectors with White- and Black-Box Attacks
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00341openalex-snapshot
DeepFake Detection by Analyzing Convolutional Traces
inferredcites →https://doi.org/10.1109/cvprw53098.2021.00103openalex-snapshot
Adversarial Threats to DeepFake Detection: A Practical Perspective
inferredcites →https://doi.org/10.1109/fg.2018.00024openalex-snapshot
On Face Segmentation, Face Swapping, and Face Perception
inferredcites →https://doi.org/10.1109/iccv.2019.00009openalex-snapshot
FaceForensics++: Learning to Detect Manipulated Facial Images
inferredcites →https://doi.org/10.1109/iccv.2019.00673openalex-snapshot
Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks
inferredcites →https://doi.org/10.1109/ijcnn48605.2020.9207034openalex-snapshot
Adversarial Perturbations Fool Deepfake Detectors
inferredcites →https://doi.org/10.1109/iscmi56532.2022.10068449openalex-snapshot
Using Deep Learning to Detecting Deepfakes
inferredcites →https://doi.org/10.1109/tgrs.2021.3139011openalex-snapshot
High-Spatial-Resolution Nighttime Light Dataset Acquisition Based on Volunteered Passenger Aircraft Remote Sensing
inferredcites →https://doi.org/10.1109/tgrs.2022.3181062openalex-snapshot
Hybrid Feature Aligned Network for Salient Object Detection in Optical Remote Sensing Imagery
inferredcites →https://doi.org/10.1109/tgrs.2022.3224815openalex-snapshot
Multiscale Feature Enhancement Network for Salient Object Detection in Optical Remote Sensing Images
inferredcites →https://doi.org/10.1109/tgrs.2023.3334492openalex-snapshot
A Gray Scale Correction Method for Side-Scan Sonar Images Considering Rugged Seafloor
inferredcites →https://doi.org/10.1109/tvt.2020.3034800openalex-snapshot
Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning
inferredcites →https://doi.org/10.1109/wacv48630.2021.00339openalex-snapshot
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples
inferredcites →https://doi.org/10.1109/wacvw54805.2022.00044openalex-snapshot
Supervised Contrastive Learning for Generalizable and Explainable DeepFakes Detection
inferredcites →https://doi.org/10.1109/wifs.2018.8630761openalex-snapshot
MesoNet: a Compact Facial Video Forgery Detection Network
inferredcites →https://doi.org/10.1145/3128572.3140444openalex-snapshot
Adversarial Examples Are Not Easily Detected
inferredcites →https://doi.org/10.18280/ts.390330openalex-snapshot
Deepfakes Classification of Faces Using Convolutional Neural Networks
inferredcites →https://doi.org/10.24963/ijcai.2019/584openalex-snapshot
VAEGAN: A Collaborative Filtering Framework based on Adversarial Variational Autoencoders
inferredcites →https://doi.org/10.32604/cmc.2022.029134openalex-snapshot
Deep CNN Model for Multimodal Medical Image Denoising
inferredcites →https://doi.org/10.3389/fnins.2020.00728openalex-snapshot
Adaptive Wavelet Based MRI Brain Image De-noising
inferredcites →https://doi.org/10.7249/pea1043-1openalex-snapshot
Artificial Intelligence, Deepfakes, and Disinformation: A Primer

What points at this work

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

inferred← citeshttps://doi.org/10.1016/j.asoc.2026.115845openalex-snapshot
Deepfake detection: A review of audio, visual and multimodal techniques
inferred← citeshttps://doi.org/10.1049/ipr2.70432openalex-snapshot
A Unified Adversarial Defence Framework: Diffusion‐Driven Purification with Adaptive Timestep Selection and Detection via Reconstruction Consistency Features
inferred← citeshttps://doi.org/10.1109/ic-ftai67960.2025.11384255openalex-snapshot
State-of-the-Art Methods and Insights for Deepfake Detection
inferred← citeshttps://doi.org/10.1109/iccit64611.2024.11021847openalex-snapshot
Uncovering DeepFake Images for Identifying Source-images
inferred← citeshttps://doi.org/10.1109/icia64617.2025.11277726openalex-snapshot
Adversarial 3D Generation Based on Diffusion Models for Anti-Facial Recognition
inferred← citeshttps://doi.org/10.1109/iitcee67948.2026.11394335openalex-snapshot
Defensive Mechanisms Against Deepfake Threats in Cybersecurity: Detection, Robustness, and Simulation-Based Evaluation
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/10.1109/tce.2026.3660743openalex-snapshot
FRoCL: Robust Continual Defense Against Deepfakes in Facial Identification Systems
inferred← citeshttps://doi.org/10.1360/ssi-2024-0354openalex-snapshot
Survey on generative visual media detection and security
inferred← citeshttps://doi.org/10.21203/rs.3.rs-6273520/v1openalex-snapshot
A Novel Hybrid Framework for Deepfake Detection
inferred← citeshttps://doi.org/10.3934/math.20241412openalex-snapshot
Deepfake image detection and classification model using Bayesian deep learning with coronavirus herd immunity optimizer
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