Ali Naseh

When Anonymity Breaks: Identifying Models Behind Text-to-Image Leaderboards

Text-to-image (T2I) models are increasingly popular, producing a large share of AI-generated images online. To compare model quality, voting-based leaderboards have become the standard, relying on anonymized model outputs for fairness. In this work, we show that such anonymity can be easily broken.