232 citations
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69 papers
Compressing What Matters: Neuron Importance Meets Data-Aware Low Rank Approximation for Language Model Compression
Athanasios Ntovas, Alexandros Doumanoglou, Petros Drakoulis +1
To excel at their domain large language models are comprised of billions of parameters. Yet this comes at the cost of huge memory requirements restricting their applicability in re…
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…
"Humor, Art, or Misinformation?": A Multimodal Dataset for Intent-Aware Synthetic Image Detection
Anastasios Skoularikis, Stefanos-Iordanis Papadopoulos, Symeon Papadopoulos +1
Recent advances in multimodal AI have enabled progress in detecting synthetic and out-of-context content. However, existing efforts largely overlook the intent behind AI-generated…
Improving Generalization in Deepfake Detection with Face Foundation Models and Metric Learning
Stelios Mylonas, Symeon Papadopoulos
The increasing realism and accessibility of deepfakes have raised critical concerns about media authenticity and information integrity. Despite recent advances, deepfake detection…
Terrain-Aware Adaptation for Two-Dimensional UAV Path Planners
Kostas Karakontis, Thanos Petsanis, Athanasios Ch. Kapoutsis +2
Multi-UAV Coverage Path Planning (mCPP) algorithms in popular commercial software typically treat a Region of Interest (RoI) only as a 2D plane, ignoring important3D structure char…
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…