Results
Real or fake? Decoding realness levels of stylized face images with EEG
![© MPI CBS](/8244/original-1693391490.jpg?t=eyJ3aWR0aCI6MjQ2LCJvYmpfaWQiOjgyNDR9--d4916b5b4a5de92b14b787ce7ef884c9687fdec5)
We utilized an EEG dataset in which participants were presented with human face images of different stylization levels. We found a non-linear relationship between amplitudes of neural responses and stylization level. Moreover, we successfully decoded the level of realness from the single-trial EEG data. This study provides a basis for future research and neuronal benchmarking of real-time detection of face realness regarding three aspects: SSVEP-based neural markers, efficient classification methods, and low-level stimulus confounders.
Key publication
Chen, Y., Stephani, T., Bagdasarian, M. T., Hilsman, A., Eisert, P. , Villringer, A., Bosse, S., Gaebler, M., Nikulin, V. V. (2023).
Real or fake? Decoding realness levels of stylized face images with EEG. Research Square.
Source
Fooling State-of-the-Art Deepfake Detection with High-Quality Deepfakes
![Left: Forward pass of our model. The loss is computed separately for each identity (A and B) and finally summed up.
Right: Detailed architecture of the proposed decoder.](/7614/original-1684488292.jpg?t=eyJ3aWR0aCI6MjQ2LCJvYmpfaWQiOjc2MTR9--556bf9f68f2dd8aaaced014da2d89de735616fc1)
This paper emphasizes the need for robust deepfake detectors in the face of increasing security and privacy concerns. We propose a novel autoencoder and face blending technique to generate high-quality deepfakes, which we use to fool a State-of-the-Art deepfake detector. The results highlight the importance of including high-quality fakes in the training datasets of deepfake detectors for improved generalization and detection of manipulations in real-world scenarios.
Key publication
Beckmann, A., Hilsmann, A., Eisert, P. (2023).
Fooling State-of-the-Art Deepfake Detection with High-Quality Deepfakes. arXiv.
Source
Decoding subjective emotional arousal from EEG during an immersive virtual reality experience
![Schematic of the experimental setup and analysis approach.](/6722/original-1684487724.jpg?t=eyJ3aWR0aCI6MjQ2LCJvYmpfaWQiOjY3MjJ9--30f6e7af287a716f6ae79d1f5e63fcc81df9958a)
We successfully decoded self-reported emotional arousal during an immersive VR experience involving virtual rollercoasters from EEG-derived parieto-occipital alpha power (Hofmann, Klotzsche, Mariola et al., 2021).
Key publication
Hofmann, S. M., Klotzsche, F., Mariola, A., Nikulin, V., Villringer, A., & Gaebler, M. (2021).
Decoding subjective emotional arousal from EEG during an immersive virtual reality experience. eLife.
Source press release | eLife digest | twitter thread