Watermarking schemes for autoregressive image generation fail against removal and forgery attacks, enabling false detections and undermining synthetic content filtering.
arXiv:2405.06135 (2024)
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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.
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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.