In recent years, industry leaders and researchers have proposed to use technical
provenance standards to address visual misinformation spread through digitally altered …

The architectures of many state‐of‐the‐art local tempering detection models are complexity,
and the training process of those models is also time‐consuming. Therefore, this paper …

Recent advances in deep learning have enabled forensics researchers to develop a new
class of image splicing detection and localization algorithms. These algorithms identify …

The goal of image splicing localization is to detect the tampered area in an input image.
Deep learning models have shown good performance in such a task, but are generally …

The term “mimicry attack” has been coined in computer security and used in adversarial
machine learning: an attacker observes what a machine-learning system has learned and …

Satellite imagery is becoming increasingly available due to a large number of commercial
satellite companies. Many fields use satellite images, including meteorology, forestry …

Satellite imagery is becoming increasingly available due to a large number of commercial
satellite operators. Many fields use satellite images, including meteorology, forestry, natural …

Recently, researchers have developed new image splicing detection and localization
algorithms by leveraging deep learning and contrastive learning techniques. These …

Nowadays, malicious tampering and forgery images show an explosive growth trend.
Current image splicing tamper detection methods commonly suffer from issues such as …