The advent of artificial intelligence-generated content (AIGC) represents a pivotal moment in
the evolution of information technology. With AIGC, it can be effortless to generate high …

Although effective deepfake detection models have been developed in recent years recent
studies have revealed that these models can result in unfair performance disparities among …

This paper examines the impact of cognitive biases on decision-making in forensics and
digital forensics, exploring biases such as confirmation bias, anchoring bias, and hindsight …

Detecting AI-generated images has become an extraordinarily difficult challenge as new
generative architectures emerge on a daily basis with more and more capabilities and …

In recent years, generative artificial intelligence models, represented by Large Language
Models (LLMs) and Diffusion Models (DMs), have revolutionized content production …

In this paper we develop a neural network that can detect a mismatch between the light
emitted from a monitor and the light reflected from the face of a user sitting in front of a …

In recent years, many forensic detectors have been proposed to detect AI-generated images
and prevent their use for malicious purposes. Convolutional neural networks (CNNs) have …

Large language models (LLMs) have advanced to a point that even humans have difficulty
discerning whether a text was generated by another human, or by a computer. However …

In the face of a new era of generative models, the detection of artificially generated content
has become a matter of utmost importance. The ability to create credible minute-long music …

Recent LLMs are able to generate high-quality multilingual texts, indistinguishable for
humans from authentic human-written ones. Research in machine-generated text detection …