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 …
A comprehensive survey on the biometric recognition systems based on physiological and behavioral modalities
Biometrics is the branch of science that deals with the identification and verification of an
individual based on the physiological and behavioral traits. These traits or identifiers are …
individual based on the physiological and behavioral traits. These traits or identifiers are …
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 …
Multi-task learning for detecting and segmenting manipulated facial images and videos
Detecting manipulated images and videos is an important topic in digital media forensics.
Most detection methods use binary classification to determine the probability of a query …
Most detection methods use binary classification to determine the probability of a query …
Capsule-forensics: Using capsule networks to detect forged images and videos
HH Nguyen, J Yamagishi… - ICASSP 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
Recent advances in media generation techniques have made it easier for attackers to create
forged images and videos. State-of-the-art methods enable the real-time creation of a forged …
forged images and videos. State-of-the-art methods enable the real-time creation of a forged …
Faceforensics: A large-scale video dataset for forgery detection in human faces
With recent advances in computer vision and graphics, it is now possible to generate videos
with extremely realistic synthetic faces, even in real time. Countless applications are …
with extremely realistic synthetic faces, even in real time. Countless applications are …
Faceforensics++: Learning to detect manipulated facial images
The rapid progress in synthetic image generation and manipulation has now come to a point
where it raises significant concerns for the implications towards society. At best, this leads to …
where it raises significant concerns for the implications towards society. At best, this leads to …
Use of a capsule network to detect fake images and videos
The revolution in computer hardware, especially in graphics processing units and tensor
processing units, has enabled significant advances in computer graphics and artificial …
processing units, has enabled significant advances in computer graphics and artificial …
Face recognition systems under morphing attacks: A survey
U Scherhag, C Rathgeb, J Merkle, R Breithaupt… - IEEE …, 2019 - ieeexplore.ieee.org
Recently, researchers found that the intended generalizability of (deep) face recognition
systems increases their vulnerability against attacks. In particular, the attacks based on …
systems increases their vulnerability against attacks. In particular, the attacks based on …
Adversarial deepfakes: Evaluating vulnerability of deepfake detectors to adversarial examples
S Hussain, P Neekhara, M Jere… - Proceedings of the …, 2021 - openaccess.thecvf.com
Recent advances in video manipulation techniques have made the generation of fake
videos more accessible than ever before. Manipulated videos can fuel disinformation and …
videos more accessible than ever before. Manipulated videos can fuel disinformation and …