Deepfake or synthetic images produced using deep generative models pose serious risks to
online platforms. This has triggered several research efforts to accurately detect deepfake …

Every major technical invention resurfaces the dual-use dilemma—the new technology has
the potential to be used for good as well as for harm. Generative AI (GenAI) techniques, such …

Detecting fake images is becoming a major goal of computer vision. This need is becoming
more and more pressing with the continuous improvement of synthesis methods based on …

Recently the proliferation of highly realistic synthetic images facilitated through a variety of
GANs and Diffusions has significantly heightened the susceptibility to misuse. While the …

With advancements in AI-generated images coming on a continuous basis, it is increasingly
difficult to distinguish traditionally-sourced images (eg, photos, artwork) from AI-generated …

The aim of this work is to explore the potential of pre-trained vision-language models (VLMs)
for universal detection of AI-generated images. We develop a lightweight detection strategy …

Photos serve as a way for humans to record what they experience in their daily lives, and
they are often regarded as trustworthy sources of information. However, there is a growing …