Journal of Computer and Communications

Journal of Computer and Communications

ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.org/journal/jcc
E-mail: jcc@scirp.org
"Deepfakes Detection Techniques Using Deep Learning: A Survey"
written by Abdulqader M. Almars,
published by Journal of Computer and Communications, Vol.9 No.5, 2021
has been cited by the following article(s):
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[2] A Timely Survey on Vision Transformer for Deepfake Detection
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[6] Exploring Deepfake Detection: Techniques, Datasets, and Challenges
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[7] A Comprehensive Study on Mitigating Synthetic Identity Threats Using Deepfake Detection Mechanisms
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[8] Fake Faces Unveiled: A Comprehensive Study on Detecting Generated Facial Images
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[9] Investigation of deep fake video detection
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[10] Generative Adversarial Networks (GANs): Introduction and vista
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[11] Testing the Working Efficiency of Open-Source Tools IrfanView and FotoForensics against Deep-Fakes Detections in Images
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[12] Enhancing the Fight against Social Media Misinformation: An Ensemble Deep Learning Framework for Detecting Deepfakes
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[13] 버추얼 휴먼 기반의 K-POP 음악 방송 사례로 본 내러티브와 몰입의 관계 분석
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[14] AN ENHANCED CONVOLUTIONAL NEURAL NETWORK FOR DETECTING DEEPFAKE VIDEOS
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[15] L'injonction à la transparence: un levier réglementaire à double tranchant pour les organisations
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[16] The good, the bad and the silent government
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[17] Detecting Deepfake Human Face Images Using Transfer Learning: A Comparative Study
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[18] New perspectives on cognitive warfare
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[19] A survey on Deep Learning Face Synthesis and Animation Techniques Used in Deepfake
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[20] A New Face Image Authentication Scheme based on Bicubic Interpolation
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[21] Real and Fake Face Detection: A Comprehensive Evaluation of Machine Learning and Deep Learning Techniques for Improved Performance
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[22] Application Of Deep Learning For Image Deepfake Detector Using Convolutional Neural Network Algorithm
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[23] A Machine Learning Approach to Detecting Deepfake Videos: An Investigation of Feature Extraction Techniques
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[24] Deepfake Detection Techniques and Analysis
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[25] DeepFake Image Detection Using Adaptive Discriminator Augmentation (ADA)
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[27] Deep Residual Learning for Unmasking DeepFake
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[28] A New Face Region Recovery Algorithm based on Bicubic Interpolation
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[29] Comparative Analysis of Deep-Fake Algorithms
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[30] FEAD-D: Facial Expression Analysis in Deepfake Detection
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[31] Detection of Deepfake Video using Deep Learning and MesoNet
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[32] Deep Fake Generation and Detection
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[33] Optimization of DeepFake Video Detection Using Image Preprocessing
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[34] Detecting Deepfakes: A Novel Framework Employing XceptionNet-Based Convolutional Neural Networks.
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[35] A new manipulation detection and localization scheme for digital face images
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[36] A comparative analysis and study of a fast parallel cnn based deepfake video detection model with feature selection (fpc-dfm)
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[37] Comparison of Different Machine Learning Algorithms for Deep Fake Detection
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[38] Combining computer vision techniques and intraframe noise methods to detect a deepfake
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[39] Exploring Deepfakes-Creation Techniques Detection Strategies and Emerging Challenges: A Survey
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[40] Video normalization in identifying fake videos using a long short-term memory model
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[41] Fake Video Detection Model Using Hybrid Deep Learning Techniques
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[42] A novel blind tamper detection and localization scheme for multiple faces in digital images
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[43] Deepfake video detection system using deep neural networks
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[44] Are ChatGPT and Deepfake Algorithms Endangering the Cybersecurity Industry? A Review
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[45] A systematic review on deepfake technology
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[46] Deepfake Detection using Biological Features: A Survey
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[47] Revealing and Classification of Deepfakes Video's Images using a Customize Convolution Neural Network Model
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[48] A Performance Enhancement of Deepfake Video Detection through the use of a Hybrid CNN Deep Learning Model
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[49] Impact of Deepfake Technology on FinTech Applications
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[50] A Proposed Model for Fake Media Detection Using Deep Learning Techniques
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[51] Fakequipo: Deep Fake Detection
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[52] CNN based Deep Learning model for Deepfake Detection
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[53] Investigation of Deep Fake Images Using Pre-Trained CNN Frameworks
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[54] Deepfake Audio Detection
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[55] Deepfake Detection in Videos and Picture: Analysis of Deep Learning Models and Dataset
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[56] Scene and Texture Based Feature Set for DeepFake Video Detection
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[57] Challenges of Face Image Authentication and Suggested Solutions
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[58] Fake news detection in internet using deep learning: a review
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[59] Deepfake Audio Detection with Neural Networks Using Audio Features
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[60] Hann: Hybrid attention neural network for detecting covid-19 related rumors
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[61] DeepFake and its Enabling Techniques: A Review
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[62] Engaging with deepfakes: a meta-synthesis from the perspective of social shaping of technology theory
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[63] Quick Classification of Xception And Resnet-50 Models on Deepfake Video Using Local Binary Pattern
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[64] Auditing metaverse requires multimodal deep learning
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[65] Fake Faces Detection Based on an Auto-Encoder Network (Application Developed on Jetson Nano)
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[66] Analysis Survey on Deepfake detection and Recognition with Convolutional Neural Networks
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[67] Detecting and mitigating the dissemination of fake news: Challenges and future research opportunities
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[68] A survey on deepfake video detection techniques using deep learning
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[69] Detecting deep fakes inside social media
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[70] Comparative analysis of deepfake image detection method using convolutional neural network
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[71] From puppet-master creation to false detection
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[72] ШВИДКІСТЬ НАВЧАННЯ ЗГОРТКОВИХ НЕЙРОННИХ МЕРЕЖ НА GPU ТА CPU ДЛЯ ВИЯВЛЕННЯ СИНТЕЗОВАНОЇ МОВИ ЗА ДОПОМОГОЮ СПЕКТРОГРАМ
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[73] Do Instructional Strategies Impact Students' Situational Interests in Learning Mathematics? A Case Study of Secondary School Students in Guyana
[74] Video Authenticity Detection Using Web-Enabled Techniques
[75] Psycho-social Impact of Deepfake Content in Entertainment Media
[76] Review on Unmasking Deepfake Technology:“Challenges and Solutions for Detection”
[77] THE INFLUENCE OF AI ALGORITHMS ON SOCIAL MEDIA
[78] ASystem TO ENSURE INFORMATION TRUSTWORTHINESS IN ARTIFICIAL INTELLIGENCE ENHANCED HIGHER EDUCATION
[79] DEEPFAKE DYSTOPIA: NAVIGATING THE LANDSCAPE OF THREATS AND SAFEGUARDS IN MULTIMEDIA CONTENT
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