52 citations · 99 across the 32 of their papers we have counts for
33 papers
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…
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…
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.…
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…
VB-Mitigator: An Open-source Framework for Evaluating and Advancing Visual Bias Mitigation
Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos +1
Bias in computer vision models remains a significant challenge, often resulting in unfair, unreliable, and non-generalizable AI systems. Although research into bias mitigation has…
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…