Synthetic data for face recognition: Current state and future prospects
Over the past years, deep learning capabilities and the availability of large-scale training
datasets advanced rapidly, leading to breakthroughs in face recognition accuracy. However …
datasets advanced rapidly, leading to breakthroughs in face recognition accuracy. However …
[HTML][HTML] 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 …
have made it possible, even for non-technical people, to either manipulate or generate …
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 …
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 …
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) …
Deep face representations for differential morphing attack detection
U Scherhag, C Rathgeb, J Merkle… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
The vulnerability of facial recognition systems to face morphing attacks is well known. Many
different approaches for morphing attack detection (MAD) have been proposed in the …
different approaches for morphing attack detection (MAD) have been proposed in the …
Detection of face morphing attacks based on PRNU analysis
Recent research found that attacks based on morphed face images, ie, morphing attacks,
pose a severe security risk to face recognition systems. A reliable morphing attack detection …
pose a severe security risk to face recognition systems. A reliable morphing attack detection …
Synthetic data in human analysis: A survey
Deep neural networks have become prevalent in human analysis, boosting the performance
of applications, such as biometric recognition, action recognition, as well as person re …
of applications, such as biometric recognition, action recognition, as well as person re …
Morgan: Recognition vulnerability and attack detectability of face morphing attacks created by generative adversarial network
Face morphing attacks aim at creating face images that are verifiable to be the face of
multiple identities, which can lead to building faulty identity links in operations like border …
multiple identities, which can lead to building faulty identity links in operations like border …