collaborators

13 papers

cs.MM2026

Evidence Triangulation for Multimodal Fact-Checking in the Wild

Stefanos-Iordanis Papadopoulos, Zacharias Chrysidis, Christos Koutlis +2

The proliferation of multimedia content on social platforms has fueled multimodal misinformation, where images are used to reinforce false claims. Consequently, Multimodal Fact-Che…

cs.CV2026

Navigating the Challenges of AI-Generated Image Detection in the Wild: What Truly Matters?

Despina Konstantinidou, Dimitrios Karageorgiou, Christos Koutlis +3

As generative Artificial Intelligence (AI) advances, the realism of AI generated imagery has reached a threshold capable of deceiving even vigilant human observers. Yet, while curr…

cs.CV2026

Automated In-the-Wild Data Collection for Continual AI Generated Image Detection

Thanasis Pantsios, Dimitrios Karageorgiou, Christos Koutlis +3

The rapid advancement of generative Artificial Intelligence (AI) has introduced significant challenges for reliable AI-generated image detection. Existing detectors often suffer fr…

cs.CV2026

Latent Reconstruction from Generated Data for Multimodal Misinformation Detection

Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos +1

Multimodal misinformation, such as miscaptioned images, where captions misrepresent an image's origin, context, or meaning, poses a growing challenge in the digital age. Due to the…

cs.CV2025

AuViRe: Audio-visual Speech Representation Reconstruction for Deepfake Temporal Localization

Christos Koutlis, Symeon Papadopoulos

With the rapid advancement of sophisticated synthetic audio-visual content, e.g., for subtle malicious manipulations, ensuring the integrity of digital media has become paramount.…

cs.CV2025

Designing and Generating Diverse, Equitable Face Image Datasets for Face Verification Tasks

Georgia Baltsou, Ioannis Sarridis, Christos Koutlis +1

Face verification is a significant component of identity authentication in various applications including online banking and secure access to personal devices. The majority of the…