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An all-inclusive study on identification of fake multimedia content using Machine Learning approaches: A survey
2023
IARJSET
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Neural Networks (CNN) with reference to identification of fake content. ...
This work is useful in identifying research gaps in the area of fake content identification which can be useful to both experts and future enthusiastic. ...
learning and a deep convolutional neural network based on Convolutional Neural ResNet-50 to recognize computer-generated images. ...
doi:10.17148/iarjset.2023.101206
fatcat:xvoeyurp4jfhzlqdgvypfx6wiu
Liveness control in face recognition with deep learning methods
2022
The European Journal of Research and Development
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Today, automatic identification of individuals from biometric features is widely used in identification and authentication, security, and monitoring applications. ...
Therefore, face liveness detection (FLD) methods are of great importance. ...
DensNet This model is a convolutional neural network that uses dense connections between layers via Dense Blocks, where all layers (with matching feature map dimensions) are directly interconnected. ...
doi:10.56038/ejrnd.v2i2.36
fatcat:ujgz7yuzw5eghbf6xqyuavmtde
A Survey on Identification of Deepfake Videos using Artificial Intelligence
2022
International Journal of Advanced Research in Science, Communication and Technology
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It's easy to imagine scenarios where this realistic face could be traded for a fake video to do political pain, fake terrorist attacks and intimidation. ...
There are many scenarios where realistic deepfakes with face swaps are used to create political pranks, and fake terrorist incidents and people intimidation are easy to imagine. ...
LITERATURE SURVEY In the method proposed in the paper [1] , this deepfake identification approach compared a specific convolutional neural network model with a source region of the face and its surrounding ...
doi:10.48175/ijarsct-7755
fatcat:f33nmcbkizcbnomoxmtem3gwqe
Deepfakes Detection Techniques Using Deep Learning: A Survey
2021
Journal of Computer and Communications
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This work primarily focuses on providing a comprehensive study for deepfake detection using deep-learning methods such as Recurrent Neural Network (RNN), Convolutional Neural Network (CNN), and Long short-term ...
The current studies show that deep neural networks made a remarkable result in terms of detecting fake news and rumors in social media posts. ...
Convolutional Neural Network (CNN) A convolutional neural network (CNN) is the most commonly used deep neural network model. ...
doi:10.4236/jcc.2021.95003
fatcat:4zpksmozhrdmjh6e25l2g3jjru
Identification of Fake vs. Real Identities on Social Media using Random Forest and Deep Convolutional Neural Network
2019
International Journal of Engineering and Advanced Technology
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Random Forest (RF) and Recurrent Neural Network (RNN). The classification is based on various features such as user name, location, friends count, followers count and so on. ...
This system removes fake identities by bots during preprocessing and focuses mainly on identification of fake identities by humans as very little research has been made till now on the fake identities ...
Identification of Fake vs. Real Identities on
Social Media using Random Forest and Deep
Convolutional Neural Network
Bharat Sampatrao Borkar, Rajesh Purohit
MLP to find faux likes on instagram. ...
doi:10.35940/ijeat.a9739.109119
fatcat:lduxxk3m7jfzbo7dxaavs2trfa
Table of Contents
2021
IEEE Transactions on Biometrics Behavior and Identity Science
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Cao 320 REGULAR PAPERS An Efficient Convolutional Neural Network for Fingerprint Pore Detection . . . . . . . . . . . . . . . . .M. Ali, C. Wang, and M. O. ...
He 308 Fighting Fake News: Two Stream Network for Deepfake Detection via Learnable SRM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/tbiom.2021.3089891
fatcat:6fim5rmomnfufkwbyiwk7eneu4
Deepfake Video Detection using Neural Networks
2022
ITM Web of Conferences
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Using Convolutional Neural Networks and Recurrent Neural Networks, we have made progress in detecting the DF. ...
The system employs a Convolutional Neural network (CNN) on frame level to extract features. ...
the relative face area with artifact detection using Convolutional Neural Network. ...
doi:10.1051/itmconf/20224403024
fatcat:5wc4qv7qnzh43hmhan6cwbtar4
Deepfake Detection using Biological Features: A Survey
[article]
2023
arXiv
pre-print
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Deepfakes are created using the generative adversarial network (GANs) model, and were once easy to detect by humans due to visible artifacts. ...
Convolutional Neural 1. FaceForensics++ With Transfer Deep-Fakes Detection Networks (CNN) 2. Celeb-DF Learning 84%, Using Transfer Learning 2. Long Short-Term 3. ...
Celeb A Discrete-95% and detection based on Networks (CNN) 2. AFW for continuous, it convolutional neural 3. ...
arXiv:2301.05819v1
fatcat:tgsy7baghjdk3gkv5asati3qi4
TI-CNN: Convolutional Neural Networks for Fake News Detection
[article]
2023
arXiv
pre-print
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Besides the explicit features, there also exist some hidden patterns in the words and images used in fake news, which can be captured with a set of latent features extracted via the multiple convolutional ...
A model named as TI-CNN (Text and Image information based Convolutinal Neural Network) is proposed in this paper. ...
Convolutional neural networks (CNN) utilize filters to capture the local structures of the image, which performs very well on computer vision tasks. ...
arXiv:1806.00749v3
fatcat:j7wfwabjsff6jnuvjrna347s7q
Currency Detection for Blind Person Using CNN
2024
International Journal of Research Publication and Reviews
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In this project we are using HOG (Histogram of Oriented Gradients) and Region-based Convolutional Neural Networks (R-CNN) to create an AI/ML model. ...
In today's world every day thousands of people get scammed because of fake notes. ...
Convolutional Neural Network (CNN) Convolutional Neural Network (CNN): In the context of artificial intelligence and machine learning, CNN refers to Convolutional Neural Networks. ...
doi:10.55248/gengpi.5.0124.0352
fatcat:ts37pgjiqfdmdcmg2swrhq5luy
An evolutionary- convolutional neural network for fake image detection
2023
Indonesian Journal of Electrical Engineering and Computer Science
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This paper developed an evolutionary learning algorithm to automatically design a convolutional neural network (CNN) architecture for deepfake detection. ...
Genetic algorithm (GA) based on residual network (ResNet) and densely connected convolutional network (DenseNet) as building block units for feature extraction versus multilayer perceptron (MLP), random ...
[7] MesoNet, a convolutional neural network was designed to differentiate between authentic and Deepfake-modification faces. ...
doi:10.11591/ijeecs.v29.i3.pp1657-1667
fatcat:nsi2qynxn5cttewx4soreus4su
A DNN based age and gender recognition technique for user identification during account creation in social media
2022
AIP Conference Proceedings
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In this paper we have made a comparative analysis of four main face detection algorithms based on Convolutional Neural Network namely Haar Cascade ,HOG , CNN and Deep Neural Network(DNN) to estimate an ...
age-range and gender of a new face. ...
Neural Network namely Haar Cascade, HOG and Deep Neural Network (DNN) to estimate gender and age-range of a new face. ...
doi:10.1063/5.0104763
fatcat:vqeahslnrrfgpke4oiimcwygum
Deep Insights of Deepfake Technology : A Review
2020
Zenodo
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Although it seems interesting techniques to make fake videos or image of something or some individuals but it could spread as misinformation via internet. ...
Under the aegis of computer vision and deep learning technology, a new emerging techniques has introduced that anyone can make highly realistic but fake videos, images even can manipulates the voices. ...
[73] have proposed a method that detect Deepfake using convolutional neural networks . ...
doi:10.5281/zenodo.4731421
fatcat:l75l43uwdvbndlb3kbg6qtjgwe
Face Biometric Prediction and cyber-attacks experienced Using Deep Learning Model
2022
Emperor Journal of Applied Scientific Research
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Finally, classify the images as diseases affected or healthy as classify by using Deep Convolution Generative Adversarial Network (DCGAN). ...
Identify the Face biometric prediction by using digital image processing techniques as well as deep learning model. ...
All of the activity from the previous layer is passed via this layer, just like a standard artificial neural network.
D. ...
doi:10.35338/ejasr.2022.4301
fatcat:lzgsrufga5fbfi3kjgkzp44hb4
Counterfeit Currency Detection based on AI
2022
International Journal for Research in Applied Science and Engineering Technology
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Index Terms: Currency Detection, Deep Learning, Deep Neural Network, Convolution Neural Network ...
To eliminate such unethical activities of printing counterfeit currency it is mandatory to make a system that detects the fake currency, In systems such as a money exchanger for example ATMs and vending ...
Convolution Neural Network (CNN) A convolutional neural network is a class of deep learning and has a network architecture consisting of tens and hundreds of layers to extract the features from an image ...
doi:10.22214/ijraset.2022.41980
fatcat:xatfkdrswfcsra5bkrdxdhexuu
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