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Differentially Private Uniformly Most Powerful Tests for Binomial Data

Neural Information Processing Systems

Furthermore, we obtain exactp-values, which are easily computed in terms of the Tulap random variable. We show that our results also apply to distribution-free hypothesis testsforcontinuous data.



Digital blackface flourishes under Trump and AI: 'The state is bending reality'

The Guardian

Digital blackface flourishes under Trump and AI: 'The state is bending reality' Late last year, as a US government shutdown cut off the Snap benefits that low-income families rely on for groceries, videos on social media cast the fallout in frantic scenes. "Imma keep it real with you," a Black woman said in a viral TikTok post, "I get over $2,500 a month in stamps. I sell'em, $2,000 worth, for about $1,200-$1,500 cash." Another Black woman ranted about taxpayers' responsibility to her seven children with seven men, and yet another melted down after her food stamps were rejected at a corn-dog counter. Visible watermarks stamped some videos as AI-generated - apparently, too faintly for the racist commentators and hustlers more than happy to believe the frenzy was real.


26e359e83860db1d11b6acca57d8ea88-Paper.pdf

Neural Information Processing Systems

Some recent results do consider residual-like elements (see discussion of related work below),butgenerallydonotapply tostandard architectures.