Victims of child sexual abuse suffer from physical, psychological, and emotional trauma. The
detection and deletion of illicit online child sexual abuse material (CSAM) helps in reducing …

The exponential growth of videos on YouTube has attracted billions of viewers among which
the majority belongs to a young demographic. Malicious uploaders also find this platform as …

Recent literature has explored automated pornographic detection–a bold move to replace
humans in the tedious task of moderating online content. Unfortunately, on scenes with high …

Currently, the volume of sensitive content on the Internet, such as pornography and child
pornography, and the amount of time that people spend online (especially children) have …

This paper proposes a novel method that combines an ImageNet pretrained convolutional
neural network (CNN) with attention-based bidirectional long short-term memory (BiLSTM) …

Digital forensics and analysis have emerged as a discipline to fight against cyber and
computer-assisted crime. In particular, taking into account the increasing of unconstrained …

The increasing levels of criminal media being shared in peer-to-peer (P2P) networks pose a
significant challenge to law enforcement agencies. One of the main priorities for P2P …

The availability of satellite images for academic or commercial purpose is increasing rapidly
due to efforts made by governmental agencies (NASA, ESA) to publish such data openly or …

Increasingly more and more videos are being uploaded on video sharing platforms, and a
significant number of viewers on these platforms are children. At times, these videos have …

YouTube video recommendation algorithm plays an important role in enhancing user
engagement and profitability (or monetization), yet it struggles to deal with disturbing visual …