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 …
multimedia content can now provide a very advanced level of realism. The boundary …
A survey on deep learning-based image forgery detection
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 …
and availability of digital devices such as cameras and cell phones, taking images has …
Patch svdd: Patch-level svdd for anomaly detection and segmentation
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 …
Anomaly detection involves making a binary decision as to whether an input image contains …
Self-supervised video forensics by audio-visual anomaly detection
Manipulated videos often contain subtle inconsistencies between their visual and audio
signals. We propose a video forensics method, based on anomaly detection, that can …
signals. We propose a video forensics method, based on anomaly detection, that can …
Deepfakes detection with automatic face weighting
Altered and manipulated multimedia is increasingly present and widely distributed via social
media platforms. Advanced video manipulation tools enable the generation of highly …
media platforms. Advanced video manipulation tools enable the generation of highly …
Perceptual hashing for image authentication: A survey
Perceptual hashing is used for multimedia content identification and authentication through
perception digests based on the understanding of multimedia content. This paper presents a …
perception digests based on the understanding of multimedia content. This paper presents a …
A survey of machine learning techniques in adversarial image forensics
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 …
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
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 …
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 …
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
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 …
range of applications, from detecting fraudulent transactions to malignant brain tumors. Over …