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 …

Federated Adversarial Learning for Robust Autonomous Landing Runway Detection

Y Li, P Angelov, Z Yu, AL Pellicer, N Suri - arXiv preprint arXiv:2406.15925, 2024 - arxiv.org
As the development of deep learning techniques in autonomous landing systems continues
to grow, one of the major challenges is trust and security in the face of possible adversarial …

Self-Supervised Representation Learning for Adversarial Attack Detection

Y Li, P Angelov, N Suri - arXiv preprint arXiv:2407.04382, 2024 - arxiv.org
Supervised learning-based adversarial attack detection methods rely on a large number of
labeled data and suffer significant performance degradation when applying the trained …