Watermarking schemes for autoregressive image generation fail against removal and forgery attacks, enabling false detections and undermining synthetic content filtering.
Longitudinal generalizations of the average treatment effect on the treated for multi-valued and continuous treatments
2 Pith papers cite this work. Polarity classification is still indexing.
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A data-supported estimand for the effect of flexible shifts in multi-component exposure mixtures is defined and estimated nonparametrically with machine learning.
citing papers explorer
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On the Robustness of Watermarking for Autoregressive Image Generation
Watermarking schemes for autoregressive image generation fail against removal and forgery attacks, enabling false detections and undermining synthetic content filtering.
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Everything all at once: On choosing an estimand for multi-component environmental exposures
A data-supported estimand for the effect of flexible shifts in multi-component exposure mixtures is defined and estimated nonparametrically with machine learning.