Face recognition: Past, present and future (a review)
Biometric systems have the goal of measuring and analyzing the unique physical or
behavioral characteristics of an individual. The main feature of biometric systems is the use …
behavioral characteristics of an individual. The main feature of biometric systems is the use …
Gan-generated faces detection: A survey and new perspectives
Abstract Generative Adversarial Networks (GAN) have led to the generation of very realistic
face images, which have been used in fake social media accounts and other disinformation …
face images, which have been used in fake social media accounts and other disinformation …
Hierarchical fine-grained image forgery detection and localization
Differences in forgery attributes of images generated in CNN-synthesized and image-editing
domains are large, and such differences make a unified image forgery detection and …
domains are large, and such differences make a unified image forgery detection and …
Deepfakes and beyond: A survey of face manipulation and fake detection
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 …
learning techniques, in particular Generative Adversarial Networks, have led to the …
Image2stylegan: How to embed images into the stylegan latent space?
We propose an efficient algorithm to embed a given image into the latent space of StyleGAN.
This embedding enables semantic image editing operations that can be applied to existing …
This embedding enables semantic image editing operations that can be applied to existing …
Deepvision: Deepfakes detection using human eye blinking pattern
T Jung, S Kim, K Kim - IEEE Access, 2020 - ieeexplore.ieee.org
In this paper, we propose a new approach to detect Deepfakes generated through the
generative adversarial network (GANs) model via an algorithm called DeepVision to analyze …
generative adversarial network (GANs) model via an algorithm called DeepVision to analyze …
DeepFake detection for human face images and videos: A survey
Techniques for creating and manipulating multimedia information have progressed to the
point where they can now ensure a high degree of realism. DeepFake is a generative deep …
point where they can now ensure a high degree of realism. DeepFake is a generative deep …
Face morphing attack generation and detection: A comprehensive survey
Face recognition has been successfully deployed in real-time applications, including secure
applications such as border control. The vulnerability of face recognition systems (FRSs) to …
applications such as border control. The vulnerability of face recognition systems (FRSs) to …
Biometrics: Trust, but verify
Over the past two decades, biometric recognition has exploded into a plethora of different
applications around the globe. This proliferation can be attributed to the high levels of …
applications around the globe. This proliferation can be attributed to the high levels of …
Mipgan—generating strong and high quality morphing attacks using identity prior driven gan
Face morphing attacks target to circumvent Face Recognition Systems (FRS) by employing
face images derived from multiple data subjects (eg, accomplices and malicious actors) …
face images derived from multiple data subjects (eg, accomplices and malicious actors) …