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 …
discern between actual and artificially generated images. Recent advancements in deep …
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection
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 …
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
Supervised learning-based adversarial attack detection methods rely on a large number of
labeled data and suffer significant performance degradation when applying the trained …
labeled data and suffer significant performance degradation when applying the trained …