The “PREMIER: PREserving Media trustworthiness in the artificial Intelligence ERA”, project funded by the Italian Ministry of University and Research (MUR) under the PRIN 2017 2017Z595XS-001. (2020-2021)
While the appearance of AI-based editing tools is only the last, most dramatic, step towards the final delegitimization of digital media as a trustworthy representation of reality, MultiMedia Forensics (MMF) researchers have started looking at AI as a way to preserve the dependability of digital media. In the last years, several detectors based on Convolutional Neural Networks (CNNs) have been developed to detect whether an image, or a video, has been manipulated, or to gather information about its history.
Despite the promising results achieved so far, the application of AI-based methods for MMF is seriously hindered by a number of shortcomings including:
- The necessity of training the MMF detectors on a huge amount of data which is representative of the variety of situations encountered in real-life.
- The difficulty of interpreting the results provided by CNN detectors.
- The lack of security of CNN detectors, as witnessed by the ease with which adversarial examples capable of deceiving them can be generated.