XAI-Based Detection of Adversarial Attacks on Deepfake Detectors

arXiv:2403.02955v1 Announce Type: cross
Abstract: We introduce a novel methodology for identifying adversarial attacks on deepfake detectors using eXplainable Artificial Intelligence (XAI). In an era characterized by digital advancement, deepfakes have emerged as a potent tool, creating a demand for efficient detection systems. However, these systems are frequently targeted by adversarial attacks that inhibit their performance. We address this gap, developing a defensible deepfake detector by leveraging the power of XAI. The proposed methodology uses XAI to generate interpretability maps …

abstract advancement adversarial adversarial attacks artificial artificial intelligence arxiv attacks cs.cr cs.cv deepfake deepfake detectors deepfakes demand detection digital explainable artificial intelligence intelligence methodology novel systems tool type xai