Analysis survey on deepfake detection and recognition with convolutional neural networks

SR Ahmed, E Sonuç, MR Ahmed… - … Congress on Human …, 2022 - ieeexplore.ieee.org
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 …

A comprehensive survey on the biometric recognition systems based on physiological and behavioral modalities

S Dargan, M Kumar - Expert Systems with Applications, 2020 - Elsevier
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 …

Deepfake video detection using recurrent neural networks

D Güera, EJ Delp - 2018 15th IEEE international conference on …, 2018 - ieeexplore.ieee.org
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 …

Multi-task learning for detecting and segmenting manipulated facial images and videos

HH Nguyen, F Fang, J Yamagishi… - 2019 IEEE 10th …, 2019 - ieeexplore.ieee.org
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 …

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 …

Faceforensics: A large-scale video dataset for forgery detection in human faces

A Rössler, D Cozzolino, L Verdoliva, C Riess… - arXiv preprint arXiv …, 2018 - arxiv.org
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 …

Faceforensics++: Learning to detect manipulated facial images

A Rossler, D Cozzolino, L Verdoliva… - Proceedings of the …, 2019 - openaccess.thecvf.com
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 …

Use of a capsule network to detect fake images and videos

HH Nguyen, J Yamagishi, I Echizen - arXiv preprint arXiv:1910.12467, 2019 - arxiv.org
The revolution in computer hardware, especially in graphics processing units and tensor
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 …

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 …