XAI-Based Detection of Adversarial Attacks on Deepfake Detectors

Understand

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.