Deepfake has recently raised a plethora of societal concerns over its
po...
Deep learning has been rapidly employed in many applications revolutioni...
Existing high-resolution satellite image forgery localization methods re...
Deep learning models are susceptible to adversarial samples in white and...
Deep neural networks are widely recognized as being vulnerable to advers...
Deep learning methods have gained increased attention in various applica...
Conventional forgery localizing methods usually rely on different forger...
Time series anomaly detection is extensively studied in statistics,
econ...
Hyper-realistic face image generation and manipulation have givenrise to...
Feature learning is a widely used method employed for large-scale face
r...
Due to the advancement of Generative Adversarial Networks (GAN),
Autoenc...
The rapid progression of Generative Adversarial Networks (GANs) has rais...
Despite significant advancements of deep learning-based forgery detector...
Significant advancements made in the generation of deepfakes have caused...
While significant advancements have been made in the generation of deepf...
Over the last few decades, artificial intelligence research has made
tre...
As GAN-based video and image manipulation technologies become more
sophi...
Deepfakes have become a critical social problem, and detecting them is o...
Deep learning-based video manipulation methods have become widely access...
Recently, significant advancements have been made in face recognition
te...
In recent years, deep learning-based video manipulation methods have bec...
Recent advancements in Generative Adversarial Networks (GANs) enable the...
Creating fake images and videos such as "Deepfake" has become much easie...