Analysis survey on deepfake detection and recognition with convolutional neural networks
Deep Learning (DL) is the most efficient technique to handle a wide range of challenging
problems such as data analytics, diagnosing diseases, detecting anomalies, etc. The …
problems such as data analytics, diagnosing diseases, detecting anomalies, etc. The …
Deepfake video detection using recurrent neural networks
In recent months a machine learning based free software tool has made it easy to create
believable face swaps in videos that leaves few traces of manipulation, in what are known …
believable face swaps in videos that leaves few traces of manipulation, in what are known …
A survey of deep learning-based source image forensics
Image source forensics is widely considered as one of the most effective ways to verify in a
blind way digital image authenticity and integrity. In the last few years, many researchers …
blind way digital image authenticity and integrity. In the last few years, many researchers …
[Retracted] Comparative Analysis of Deepfake Image Detection Method Using Convolutional Neural Network
HS Shad, MM Rizvee, NT Roza… - Computational …, 2021 - Wiley Online Library
Generation Z is a data‐driven generation. Everyone has the entirety of humanity's
knowledge in their hands. The technological possibilities are endless. However, we use and …
knowledge in their hands. The technological possibilities are endless. However, we use and …
Forensic similarity for digital images
In this paper, we introduce a new digital image forensics approach called forensic similarity,
which determines whether two image patches contain the same forensic trace or different …
which determines whether two image patches contain the same forensic trace or different …
By leaps and bounds: An exclusive look at how boston dynamics is redefining robot agility
E Guizzo - IEEE Spectrum, 2019 - ieeexplore.ieee.org
WITH THEIR JAW-DROPPING agility and animal-like reflexes, Boston Dynamics' bioinspired
robots have always seemed to have no equal. But that preeminence hasn't stopped the …
robots have always seemed to have no equal. But that preeminence hasn't stopped the …
Predicting heart rate variations of deepfake videos using neural ode
S Fernandes, S Raj, E Ortiz, I Vintila… - Proceedings of the …, 2019 - openaccess.thecvf.com
Deepfake is a technique used to manipulate videos using computer code. It involves
replacing the face of a person in a video with the face of another person. The automation of …
replacing the face of a person in a video with the face of another person. The automation of …
An overview of recent work in media forensics: Methods and threats
In this paper, we review recent work in media forensics for digital images, video, audio
(specifically speech), and documents. For each data modality, we discuss synthesis and …
(specifically speech), and documents. For each data modality, we discuss synthesis and …
[Retracted] Design of Automated Deep Learning‐Based Fusion Model for Copy‐Move Image Forgery Detection
N Krishnaraj, B Sivakumar… - Computational …, 2022 - Wiley Online Library
Due to the exponential growth of high‐quality fake photos on social media and the Internet, it
is critical to develop robust forgery detection tools. Traditional picture‐and video‐editing …
is critical to develop robust forgery detection tools. Traditional picture‐and video‐editing …
Machine learning in digital forensics: a systematic literature review
Development and exploitation of technology have led to the further expansion and
complexity of digital crimes. On the other hand, the growing volume of data and …
complexity of digital crimes. On the other hand, the growing volume of data and …