Today manipulation of digital images has become easy due to powerful computers,
advanced photo-editing software packages and high resolution capturing devices. Verifying …

In this work, we propose a technique that utilizes a fully convolutional network (FCN) to
localize image splicing attacks. We first evaluated a single-task FCN (SFCN) trained only on …

The emergence of powerful image editing software has substantially facilitated digital image
tampering, leading to many security issues. Hence, it is urgent to identify tampered images …

Editing a real-world photo through computer software or mobile applications is one of the
easiest things one can do today before sharing the doctored image on one's social …

With the proliferation of smartphones and social media, journalistic practices are
increasingly dependent on information and images contributed by local bystanders through …

The outbreak of digital devices on the Internet, the exponential diffusion of data (images,
video, audio, and text), along with their manipulation/generation also by artificial intelligence …

Vehicles can be considered as a specialized form of Cyber Physical Systems with sensors,
ECU''s and actuators working together to produce a coherent behavior. With the advent of …

In this paper, we propose a frequency-aware spatiotemporal transformers for deep In this
paper, we propose a Frequency-Aware Spatiotemporal Transformer (FAST) for video …

In this paper, we focus on local image tampering detection. For a JPEG image, the
probability distributions of its DCT coefficients will be disturbed by tampering operation. The …

Along with the advancement of manipulation technologies, image modification is becoming
increasingly convenient and imperceptible. To tackle the challenging image tampering …