Digital media objects play a central role in everybody's life. Anybody can capture images, videos and audio. However, all digital media can be easily manipulated by anyone with easy-to-use software tools.

Despite the huge effort put by multimedia forensics researchers, the astonishing advances in the artificial intelligence (AI) field and the new trends in digital media creation are posing novel challenges:

• Adversarial machine learning has shown that it is possible to craft attacks to undermine any AI-based detector.

• Media are evolving, and audio and video manipulation is now within everybody's reach.

The goal of FOSTERER (Robust Multimedia FOrensic Solutions To Enhance ModeRn MEdia TRustworthiness in Adversarial Conditions) is to develop new forensic tools that prove robust in a modern scenario in which forensic detectors work in a naturally adversarial environment.