A review on social spam detection: Challenges, open issues, and future directions
Abstract Online Social Networks are perpetually evolving and used in plenteous
applications such as content sharing, chatting, making friends/followers, customer …
applications such as content sharing, chatting, making friends/followers, customer …
A survey on deepfake video detection
Recently, deepfake videos, generated by deep learning algorithms, have attracted
widespread attention. Deepfake technology can be used to perform face manipulation with …
widespread attention. Deepfake technology can be used to perform face manipulation with …
Deepfake video detection using convolutional vision transformer
The rapid advancement of deep learning models that can generate and synthesis hyper-
realistic videos known as Deepfakes and their ease of access to the general public have …
realistic videos known as Deepfakes and their ease of access to the general public have …
A new deep learning-based methodology for video deepfake detection using XGBoost
Currently, face-swapping deepfake techniques are widely spread, generating a significant
number of highly realistic fake videos that threaten the privacy of people and countries. Due …
number of highly realistic fake videos that threaten the privacy of people and countries. Due …
Deepfake detection scheme based on vision transformer and distillation
Deepfake is the manipulated video made with a generative deep learning technique such as
Generative Adversarial Networks (GANs) or Auto Encoder that anyone can utilize. Recently …
Generative Adversarial Networks (GANs) or Auto Encoder that anyone can utilize. Recently …
Deepfake video detection: YOLO-Face convolution recurrent approach
Recently, the deepfake techniques for swapping faces have been spreading, allowing easy
creation of hyper-realistic fake videos. Detecting the authenticity of a video has become …
creation of hyper-realistic fake videos. Detecting the authenticity of a video has become …
Subjective and objective evaluation of deepfake videos
P Korshunov, S Marcel - ICASSP 2021-2021 IEEE International …, 2021 - ieeexplore.ieee.org
Practically anyone can now generate a realistic looking deepfake video. It is clear that the
online prevalence of such fake videos will erode the societal trust in video evidence even …
online prevalence of such fake videos will erode the societal trust in video evidence even …
Deepfake video detection by combining convolutional neural network (cnn) and recurrent neural network (rnn)
Y Al-Dhabi, S Zhang - 2021 IEEE international conference on …, 2021 - ieeexplore.ieee.org
Nowadays, people are facing an emerging problem called deepfake videos. These videos
were created using deep learning technology. Some are created just for fun, while others …
were created using deep learning technology. Some are created just for fun, while others …
[HTML][HTML] MagNet: Detecting digital presentation attacks on face recognition
Presentation attacks on face recognition systems are classified into two categories: physical
and digital. While much research has focused on physical attacks such as photo, replay, and …
and digital. While much research has focused on physical attacks such as photo, replay, and …
Synthesized speech detection using convolutional transformer-based spectrogram analysis
ER Bartusiak, EJ Delp - 2021 55th Asilomar Conference on …, 2021 - ieeexplore.ieee.org
Synthesized speech is common today due to the prevalence of virtual assistants, easy-to-
use tools for generating and modifying speech signals, and remote work practices …
use tools for generating and modifying speech signals, and remote work practices …