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cs.CR2022
Lower Bounds for Rényi Differential Privacy in a Black-Box Setting
Tim Kutta, Önder Askin, Martin Dunsche
We present new methods for assessing the privacy guarantees of an algorithm with regard to Rényi Differential Privacy. To the best of our knowledge, this work is the first to addre…
stat.ME2022
Validating Approximate Slope Homogeneity in Large Panels
Tim Kutta, Holger Dette
Statistical inference for large data panels is omnipresent in modern economic applications. An important benefit of panel analysis is the possibility to reduce noise and thus to gu…