Forged File Detection and Steganographic content Identification (FFDASCI) using Deep Learning Techniques (original) (raw)
Related papers
Image Forgery Detection Using Deep Neural Network
IRJET, 2023
Digital Image Forgery Detection Using Deep Learning Models
WARSE The World Academy of Research in Science and Engineering
Forged Image Detection Using Deep Learning
Image forgery detection using Convolutional Neural Networks
Advances in Computational Intelligence in Materials Science
Image Forgery / Tampering Detection Using Deep Learning and Cloud
Forged Copy-Move Recognition Using Convolutional Neural Network
Al-Nahrain journal of science, 2021
Image Forgery Detection Using Deeplearning by Recompressing Images
Electronics
Image forgery detection: a survey of recent deep-learning approaches
Multimedia Tools and Applications, 2022
A Survey on Deep Convolutional Neural Networks for Image Steganography and Steganalysis
KSII Transactions on Internet and Information Systems
IET Image Processing, 2021
Introduction to the special issue on deep learning for real-time information hiding and forensics
Journal of Real-Time Image Processing, 2020
IET Image Processing, 2020
Robust forgery detection for compressed images using CNN supervision
Forensic Science International: Reports, 2020
A New Deep Learning Based Technique To Detect Copy Move Forgery In Digital Images
IRJET, 2023
Deep learning in steganography and steganalysis
Digital Media Steganography, 2020
Image Forgery Detection Using Integrated Convolution-LSTM (2D) and Convolution (2D)
IJEER , 2023
Fusion of Handcrafted and Deep Features for Forgery Detection in Digital Images
2021
DeepFakes: Detecting Forged and Synthetic Media Content Using Machine Learning
Advanced Sciences and Technologies for Security Applications, 2021
Design of Automated Deep Learning-Based Fusion Model for Copy-Move Image Forgery Detection
Computational Intelligence and Neuroscience, 2022
IRJET- IDENTIFICATION OF IMAGE SPAM USING DEEP LEARNING TECHNIQUES
IRJET, 2020
Review on effectiveness of deep learning approach in digital forensics
International Journal of Electrical and Computer Engineering (IJECE)
Photosynthesis optimization, 2022
Fake Image Detection Using Deep Learning
Informatica
An Analytical Perspective on Various Deep Learning Techniques forDeep Fake Detection
International journal of innovations in engineering and science, 2022
International Journal of Advanced Computer Science and Applications
Deep learning for image forgery classification based on modified Xception net and dense net
THE 9TH INTERNATIONAL CONFERENCE ON APPLIED SCIENCE AND TECHNOLOGY (ICAST 2021)
2020
IJERT-Deep Fake Detection using Neural Networks
International Journal of Engineering Research and Technology (IJERT), 2021
Estimation of the Hidden Message Length in Steganography: A Deep Learning Approach
International Conference on Machine Learning for Networking, MLN 2019, 2019
An Improved VGG16 and CNN-LSTM Deep Learning Model for Image Forgery Detection
International Journal on Recent and Innovation Trends in Computing and Communication, 2023
Copy Move Forgery Detection Using CNN on Pre-Trained Model: BusterNet
Journal of emerging technologies and innovative research, 2021