2 papers
cs.CV2025
Improving the Perturbation-Based Explanation of Deepfake Detectors Through the Use of Adversarially-Generated Samples
Konstantinos Tsigos, Evlampios Apostolidis, Vasileios Mezaris
In this paper, we introduce the idea of using adversarially-generated samples of the input images that were classified as deepfakes by a detector, to form perturbation masks for in…
cs.CV2024
MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
Kostas Triaridis, Konstantinos Tsigos, Vasileios Mezaris
Recent image manipulation localization and detection techniques typically leverage forensic artifacts and traces that are produced by a noise-sensitive filter, such as SRM or Bayar…