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 …

A survey on deep learning-based image forgery detection

FZ Mehrjardi, AM Latif, MS Zarchi, R Sheikhpour - Pattern Recognition, 2023 - Elsevier
Image is known as one of the communication tools between humans. With the development
and availability of digital devices such as cameras and cell phones, taking images has …

Patch svdd: Patch-level svdd for anomaly detection and segmentation

J Yi, S Yoon - Proceedings of the Asian conference on …, 2020 - openaccess.thecvf.com
In this paper, we address the problem of image anomaly detection and segmentation.
Anomaly detection involves making a binary decision as to whether an input image contains …

Self-supervised video forensics by audio-visual anomaly detection

C Feng, Z Chen, A Owens - … of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
Manipulated videos often contain subtle inconsistencies between their visual and audio
signals. We propose a video forensics method, based on anomaly detection, that can …

Deepfakes detection with automatic face weighting

DM Montserrat, H Hao… - Proceedings of the …, 2020 - openaccess.thecvf.com
Altered and manipulated multimedia is increasingly present and widely distributed via social
media platforms. Advanced video manipulation tools enable the generation of highly …

Perceptual hashing for image authentication: A survey

L Du, ATS Ho, R Cong - Signal Processing: Image Communication, 2020 - Elsevier
Perceptual hashing is used for multimedia content identification and authentication through
perception digests based on the understanding of multimedia content. This paper presents a …

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 …

Glancing at the patch: Anomaly localization with global and local feature comparison

S Wang, L Wu, L Cui, Y Shen - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Anomaly localization, with the purpose to segment the anomalous regions within images, is
challenging due to the large variety of anomaly types. Existing methods typically train deep …

A comprehensive review of deep-learning-based methods for image forensics

I Castillo Camacho, K Wang - Journal of imaging, 2021 - mdpi.com
Seeing is not believing anymore. Different techniques have brought to our fingertips the
ability to modify an image. As the difficulty of using such techniques decreases, lowering the …

Applications of generative adversarial networks in anomaly detection: a systematic literature review

M Sabuhi, M Zhou, CP Bezemer, P Musilek - Ieee Access, 2021 - ieeexplore.ieee.org
Anomaly detection has become an indispensable tool for modern society, applied in a wide
range of applications, from detecting fraudulent transactions to malignant brain tumors. Over …