Martin Kroll

We formalize a successful attack on Bloom filters composed of bigrams. Expand

We provide the first efficient cryptanalysis of Bloom filter encryptions of a database containing more than one personal identifier. Expand

We present the first convincing attack on Bloom filter encryptions of records built from more than one identifier. Expand

We propose a new anonymisation method for the release of geographical distances between records of a microdata file—for example patients in a medical database. Expand

We address the problem of non-parametric density estimation under local differential privacy under the additional constraint that only privatised data are allowed to be published and available for inference. Expand

We show that taking the average of private kernel density estimators from $n$ different data owners attains the optimal rate of convergence if the bandwidth parameter is correctly specified. Expand