The development of technologies that can generate Deepfake videos is expanding rapidly.
These videos are easily synthesized without leaving obvious traces of manipulation. Though …

Digital videos are now low-cost, easy to capture and easy to share on social media due to
the common feature of video recording in smart phones and digital devices. However, with …

Deep learning (DL) has demonstrated its powerful capabilities in the field of image
inpainting, which could produce visually plausible results. Meanwhile, the malicious use of …

Due to the development of facial manipulation technologies, the generated deepfake videos
cause a severe trust crisis in society. Existing methods prove that effective extraction of the …

Video plays a key role in carrying authenticity, especially in the surveillance system, medical
field, court evidence, journalism, and social media among others. However, nowadays the …

Video copy-move forgery detection is one of the hot topics in multimedia forensics to protect
digital videos from malicious use. Several approaches have been presented through …

Detection of double Joint Photographic Experts Group (JPEG) compression is an important
part of image forensics. Although methods in the past studies have been presented for …

With the development of video and image processing technology, the field of video
tampering forensics is facing enormous challenges. Specifically, as the fundamental basis of …

In this paper, we present a passive blind scheme consisting of two different algorithms to
detect frame and region duplication forgeries in videos. We have examined the video frame …

Recently, there has been an exponential increase in the security concerns raised by faking
face (eg, deepfake), which automatically changes the identity with a specifically learned …