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Home/Authors/Symeon Papadopoulos

Symeon Papadopoulos

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Crypto×2AI×2Multimedia×2Vision×1

Frequent co-authors

Zacharias Chrysidis1×
Stefanos-Iordanis Papadopoulos1×
Hannes Mareen1×
Dimitrios Karageorgiou1×
Paschalis Giakoumoglou1×
Peter Lambert1×

Research Timeline

2026
TGIF2: Extended Text-Guided Inpainting Forgery Dataset & Benchmark

The paper introduces TGIF2, an extended dataset and benchmark that evaluates the forensic robustness of image forgery detection methods against modern, advanced text-guided inpainting techniques.

The Synthetic Media Shift: Tracking the Rise, Virality, and Detectability of AI-Generated Multimodal Misinformation

This study analyzes the dynamics of AI-generated multimodal misinformation using a large-scale dataset, finding that while synthetic content is highly viral, its spread is passive and its detectability declines over time.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.AIcs.MMRecentApr 15, 2026

The Synthetic Media Shift: Tracking the Rise, Virality, and Detectability of AI-Generated Multimodal Misinformation

Zacharias Chrysidis, Stefanos-Iordanis Papadopoulos, Symeon Papadopoulos

This study analyzes the dynamics of AI-generated multimodal misinformation using a large-scale dataset, finding that while synthetic content is highly viral, its spread is passive and its detectabilit…

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cs.CVcs.AIcs.CRRecentMar 30, 2026

TGIF2: Extended Text-Guided Inpainting Forgery Dataset & Benchmark

Hannes Mareen, Dimitrios Karageorgiou, Paschalis Giakoumoglou, Peter Lambert +2 more

The paper introduces TGIF2, an extended dataset and benchmark that evaluates the forensic robustness of image forgery detection methods against modern, advanced text-guided inpainting techniques.

View →