267 citations · 996 across the 18 of their papers we have counts for
24 papers
SoK: Prudent Evaluation Practices for Fuzzing
Moritz Schloegel, Nils Bars, Nico Schiller +7
Fuzzing has proven to be a highly effective approach to uncover software bugs over the past decade. After AFL popularized the groundbreaking concept of lightweight coverage feedbac…
Simultaneous inference for Berkson errors-in-variables regression under fixed design
Katharina Proksch, Nicolai Bissantz, Hajo Holzmann
In various applications of regression analysis, in addition to errors in the dependent observations also errors in the predictor variables play a substantial role and need to be in…
The empirical process of residuals from an inverse regression
Tim Kutta, Nicolai Bissantz, Justin Chown +1
In this paper we investigate an indirect regression model characterized by the Radon transformation. This model is useful for recovery of medical images obtained by computed tomogr…
Goodness-of-fit testing the error distribution in multivariate indirect regression
Justin Chown, Nicolai Bissantz, Holger Dette
We propose a goodness-of-fit test for the distribution of errors from a multivariate indirect regression model. The test statistic is based on the Khmaladze transformation of the e…
Risk Estimators for Choosing Regularization Parameters in Ill-Posed Problems - Properties and Limitations
Felix Lucka, Katharina Proksch, Christoph Brune +4
This paper discusses the properties of certain risk estimators recently proposed to choose regularization parameters in ill-posed problems. A simple approach is Stein's unbiased ri…
Multiscale inference for multivariate deconvolution
Konstantin Eckle, Nicolai Bissantz, Holger Dette
In this paper we provide new methodology for inference of the geometric features of a multivariate density in deconvolution. Our approach is based on multiscale tests to detect sig…