A survey of machine learning techniques in adversarial image forensics

E Nowroozi, A Dehghantanha, RM Parizi… - Computers & Security, 2021 - Elsevier
Image forensic plays a crucial role in both criminal investigations (eg, dissemination of fake
images to spread racial hate or false narratives about specific ethnicity groups or political …

Cifake: Image classification and explainable identification of ai-generated synthetic images

JJ Bird, A Lotfi - IEEE Access, 2024 - ieeexplore.ieee.org
Recent advances in synthetic data have enabled the generation of images with such high
quality that human beings cannot distinguish the difference between real-life photographs …

Countering malicious deepfakes: Survey, battleground, and horizon

F Juefei-Xu, R Wang, Y Huang, Q Guo, L Ma… - International journal of …, 2022 - Springer
The creation or manipulation of facial appearance through deep generative approaches,
known as DeepFake, have achieved significant progress and promoted a wide range of …

[PDF][PDF] An overview on the generation and detection of synthetic and manipulated satellite images

L Abady, ED Cannas, P Bestagini… - … on Signal and …, 2022 - nowpublishers.com
Due to the reduction of technological costs and the increase of satellite launches, satellite
images are becoming more popular and easier to obtain. Besides serving benevolent …

Exposing fake images generated by text-to-image diffusion models

Q Xu, H Wang, L Meng, Z Mi, J Yuan, H Yan - Pattern Recognition Letters, 2023 - Elsevier
Text-to-image diffusion models (DM) have posed unprecedented challenges to the
authenticity and integrity of digital images, which makes the detection of computer …

Preliminary forensics analysis of deepfake images

L Guarnera, O Giudice, C Nastasi… - 2020 AEIT international …, 2020 - ieeexplore.ieee.org
One of the most terrifying phenomenon nowadays is the Deepfake: the possibility to
automatically replace a person's face in images and videos by exploiting algorithms based …

Unsupervised generative fake image detector

T Qiao, H Shao, S **e, R Shi - IEEE Transactions on Circuits …, 2024 - ieeexplore.ieee.org
Recently, the rapid advancement of generative model has led to its exploitation by malicious
actors who employ it to fabricate fake synthetic images. Meanwhile, the deceptive images …

[PDF][PDF] Detection of AI-generated synthetic faces

D Gragnaniello, F Marra… - Handbook of digital face …, 2022 - library.oapen.org
In recent years there have been astonishing advances in AI-based synthetic media
generation. Thanks to deep learning methods it is now possible to generate visual data with …

Exposing unseen GAN-generated image using unsupervised domain adaptation

M Zhang, H Wang, P He, A Malik, H Liu - Knowledge-Based Systems, 2022 - Elsevier
Benefiting from the tremendous success of Generative Adversarial Networks (GANs), we are
entering a world where it will be increasingly difficult for people to distinguish whether an …

Generative adversarial networks in cybersecurity: Analysis and response

OS Striuk, YP Kondratenko - Artificial Intelligence in Control and Decision …, 2023 - Springer
Cybersecurity is one of the key problems of the twenty-first century, as the digital
environment has already become equally important to the real world, and in some situations …