SDRS uses designed experiments and ANOVA decomposition on synthetic data to identify Type I coverage gaps and Type II spurious dependencies in vision models, then generates targeted data to improve performance.
High-resolution image syn- thesis with latent diffusion models
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PRADA uses probability ratios of autoregressive token sequences to detect and attribute images to specific generative models.
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Synthetic Designed Experiments for Diagnosing Vision Model Failure
SDRS uses designed experiments and ANOVA decomposition on synthetic data to identify Type I coverage gaps and Type II spurious dependencies in vision models, then generates targeted data to improve performance.
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PRADA: Probability-Ratio-Based Attribution and Detection of Autoregressive-Generated Images
PRADA uses probability ratios of autoregressive token sequences to detect and attribute images to specific generative models.