A comprehensive survey on methods for image integrity

P Capasso, G Cattaneo, M De Marsico - ACM Transactions on …, 2024 - dl.acm.org
The outbreak of digital devices on the Internet, the exponential diffusion of data (images,
video, audio, and text), along with their manipulation/generation also by artificial intelligence …

PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection

AL Pellicer, Y Li, P Angelov - Proceedings of the IEEE/CVF …, 2024 - openaccess.thecvf.com
Deepfake techniques generate highly realistic data making it challenging for humans to
discern between actual and artificially generated images. Recent advancements in deep …

Improving generalization in deepfake detection via augmentation with recurrent adversarial attacks

DC Stanciu, B Ionescu - Proceedings of the 3rd ACM International …, 2024 - dl.acm.org
The crucial effort to counteract deepfakes and misinformation at large holds great
importance in our society, especially at this moment in time. Deepfake detectors evolve at …

Quantifying predictive uncertainty in damage classification for nondestructive evaluation using Bayesian approximation and deep learning

Z Li, Y Deng - Inverse Problems, 2024 - iopscience.iop.org
Magnetic flux leakage (MFL), a widely used nondestructive evaluation (NDE) method, for
inspecting pipelines to prevent potential long-term failures. However, during field testing …

MAD'23 Workshop: Multimedia AI against Disinformation

L Cuccovillo, B Ionescu, G Kordopatis-Zilos… - Proceedings of the …, 2023 - dl.acm.org
With recent advancements in synthetic media manipulation and generation, verifying
multimedia content posted online has become increasingly difficult. Additionally, the …