Work

Improving the Perturbation-Based Explanation of Deepfake Detectors Through the Use of Adversarially-Generated Samples

Year: 2025

Type: conference-paper

Source: IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)

DOI: 10.1109/wacvw65960.2025.00080

Authors: Konstantinos Tsigos, Evlampios Apostolidis, Vasileios Mezaris

Institutions: Information Technologies Institute, Centre for Research and Technology Hellas

Language: English

Topic: Explainable Artificial Intelligence (XAI)

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4409917740

FWCI: 4.942

Cites: 39

Cited by: 5

Related to: 10