Deepfakes generation and detection: State-of-the-art, open challenges, countermeasures, and way forward

M Masood, M Nawaz, KM Malik, A Javed, A Irtaza… - Applied …, 2023 - Springer
Easy access to audio-visual content on social media, combined with the availability of
modern tools such as Tensorflow or Keras, and open-source trained models, along with …

Prediction of daily global solar radiation using different machine learning algorithms: Evaluation and comparison

Ü Ağbulut, AE Gürel, Y Biçen - Renewable and Sustainable Energy …, 2021 - Elsevier
The prediction of global solar radiation for the regions is of great importance in terms of
giving directions of solar energy conversion systems (design, modeling, and operation) …

Deepfakes and beyond: A survey of face manipulation and fake detection

R Tolosana, R Vera-Rodriguez, J Fierrez, A Morales… - Information …, 2020 - Elsevier
The free access to large-scale public databases, together with the fast progress of deep
learning techniques, in particular Generative Adversarial Networks, have led to the …

Hybrid lstm and encoder–decoder architecture for detection of image forgeries

JH Bappy, C Simons, L Nataraj… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
With advanced image journaling tools, one can easily alter the semantic meaning of an
image by exploiting certain manipulation techniques such as copy clone, object splicing …

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 …

Face recognition based on convolutional neural network

M Coşkun, A Uçar, Ö Yildirim… - … conference on modern …, 2017 - ieeexplore.ieee.org
Face recognition is of great importance to real world applications such as video surveillance,
human machine interaction and security systems. As compared to traditional machine …

Deepfakes generation and detection: a short survey

Z Akhtar - Journal of Imaging, 2023 - mdpi.com
Advancements in deep learning techniques and the availability of free, large databases
have made it possible, even for non-technical people, to either manipulate or generate …

Detection and localization of image forgeries using resampling features and deep learning

J Bunk, JH Bappy, TM Mohammed… - … IEEE conference on …, 2017 - ieeexplore.ieee.org
Resampling is an important signature of manipulated images. In this paper, we propose two
methods to detect and localize image manipulations based on a combination of resampling …

A review of image processing techniques for deepfakes

HF Shahzad, F Rustam, ES Flores, J Luis Vidal Mazon… - Sensors, 2022 - mdpi.com
Deep learning is used to address a wide range of challenging issues including large data
analysis, image processing, object detection, and autonomous control. In the same way …

Detecting and mitigating adversarial perturbations for robust face recognition

G Goswami, A Agarwal, N Ratha, R Singh… - International Journal of …, 2019 - Springer
Deep neural network (DNN) architecture based models have high expressive power and
learning capacity. However, they are essentially a black box method since it is not easy to …