Media forensics and deepfakes: an overview

L Verdoliva - IEEE journal of selected topics in signal …, 2020 - ieeexplore.ieee.org
With the rapid progress in recent years, techniques that generate and manipulate
multimedia content can now provide a very advanced level of realism. The boundary …

Security in smart cities: A brief review of digital forensic schemes for biometric data

A Ross, S Banerjee, A Chowdhury - Pattern Recognition Letters, 2020 - Elsevier
A smart city is engineered to be a self-sustained ecosystem driven by Internet-of-Things (IoT)
devices. Smooth functioning of smart cities is conditioned on seamless communication …

Fighting fake news: Image splice detection via learned self-consistency

M Huh, A Liu, A Owens… - Proceedings of the …, 2018 - openaccess.thecvf.com
Advances in photo editing and manipulation tools have made it significantly easier to create
fake imagery, highlighting the need for better visual forensics algorithms. However, learning …

A self-supervised descriptor for image copy detection

E Pizzi, SD Roy, SN Ravindra… - Proceedings of the …, 2022 - openaccess.thecvf.com
Image copy detection is an important task for content moderation. We introduce SSCD, a
model that builds on a recent self-supervised contrastive training objective. We adapt this …

Image forgery detection: a survey of recent deep-learning approaches

M Zanardelli, F Guerrini, R Leonardi… - Multimedia Tools and …, 2023 - Springer
In the last years, due to the availability and easy of use of image editing tools, a large
amount of fake and altered images have been produced and spread through the media and …

Voterfraud2020: a multi-modal dataset of election fraud claims on twitter

A Abilov, Y Hua, H Matatov, O Amir… - Proceedings of the …, 2021 - ojs.aaai.org
The wide spread of unfounded election fraud claims surrounding the US 2020 election had
resulted in undermining of trust in the election, culminating in violence inside the US capitol …

[PDF][PDF] The age of synthetic realities: Challenges and opportunities

JP Cardenuto, J Yang, R Padilha… - … on Signal and …, 2023 - nowpublishers.com
Synthetic realities are digital creations or augmentations that are contextually generated
through the use of Artificial Intelligence (AI) methods, leveraging extensive amounts of data …

Generate, segment, and refine: Towards generic manipulation segmentation

P Zhou, BC Chen, X Han, M Najibi… - Proceedings of the …, 2020 - ojs.aaai.org
Detecting manipulated images has become a significant emerging challenge. The advent of
image sharing platforms and the easy availability of advanced photo editing software have …

Adversarial learning for constrained image splicing detection and localization based on atrous convolution

Y Liu, X Zhu, X Zhao, Y Cao - IEEE Transactions on Information …, 2019 - ieeexplore.ieee.org
Constrained image splicing detection and localization (CISDL), which investigates two input
suspected images and identifies whether one image has suspected regions pasted from the …

The Forchheim image database for camera identification in the wild

B Hadwiger, C Riess - … Workshops and Challenges: Virtual Event, January …, 2021 - Springer
Image provenance can represent crucial knowledge in criminal investigation and journalistic
fact checking. In the last two decades, numerous algorithms have been proposed for …