14 citations · 19 across the 5 of their papers we have counts for
5 papers
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…
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…
Mitigating Viewer Impact from Disturbing Imagery using AI Filters: A User-Study
Ioannis Sarridis, Jochen Spangenberg, Olga Papadopoulou +1
Exposure to disturbing imagery can significantly impact individuals, especially professionals who encounter such content as part of their work. This paper presents a user study, in…
Leveraging Large-scale Multimedia Datasets to Refine Content Moderation Models
Ioannis Sarridis, Christos Koutlis, Olga Papadopoulou +1
The sheer volume of online user-generated content has rendered content moderation technologies essential in order to protect digital platform audiences from content that may cause…
A Two-Level Classification Approach for Detecting Clickbait Posts using Text-Based Features
Olga Papadopoulou, Markos Zampoglou, Symeon Papadopoulos +1
The emergence of social media as news sources has led to the rise of clickbait posts attempting to attract users to click on article links without informing them on the actual arti…