John W. Tukey and data analysis

By David C. Hoaglin. 2003

140 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/847d6ac58c0a3c057ced2ba9fe97aa3f8360167d

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1. Martin Strobel
2. Yair Zick
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4. Liwei Song
5. Lingjuan Lyu
6. Milad Nasr
7. Congzheng Song
8. Nicholas Carlini

Citations in the corpus

• Privacy Risks of Explaining Machine Learning Models (2019, background): “umber of points xfiin the test set which ||ϕGRAD(fix)||1 would be considered an outlier with respect to thetrainingset.Thenumberofsuchoutliersinthethetraining set (black) is marginal. upper quartile uq [13]. Formally, αoutlier = uq(||ϕGRAD(Xtrain)||1)+ 3 2 iqr(||ϕGRAD(Xtrain)||1 . Given that the numbe”
• On the Privacy Risks of Model Explanations (2019, background): “umber of points xfiin the test set which ||ϕGRAD(fix)||1 would be considered an outlier with respect to thetrainingset.Thenumberofsuchoutliersinthethetraining set (black) is marginal. upper quartile uq [13]. Formally, αoutlier = uq(||ϕGRAD(Xtrain)||1)+ 3 2 iqr(||ϕGRAD(Xtrain)||1 . Given that the numbe”