1 citations · 1 across the 4 of their papers we have counts for
4 papers
N-Parties Private Structure and Parameter Learning for Sum-Product Networks
Xenia Heilmann, Ernst Althaus, Mattia Cerrato +3
A sum-product network (SPN) is a graphical model that allows several types of probabilistic inference to be performed efficiently. In this paper, we propose a privacy-preserving pr…
Neural Networks, Inside Out: Solving for Inputs Given Parameters (A Preliminary Investigation)
Mohammad Sadeq Dousti
Artificial neural network (ANN) is a supervised learning algorithm, where parameters are learned by several back-and-forth iterations of passing the inputs through the network, com…
Fast Private Parameter Learning and Inference for Sum-Product Networks
Ernst Althaus, Mohammad Sadeq Dousti, Stefan Kramer +1
A sum-product network (SPN) is a graphical model that allows several types of inferences to be drawn efficiently. There are two types of learning for SPNs: Learning the architectur…
Statistical Disclosure: Improved, Extended, and Resisted
Navid Emamdoost, Mohammad Sadeq Dousti, Rasool Jalili
Traffic analysis is a type of attack on secure communications systems, in which the adversary extracts useful patterns and information from the observed traffic. This paper improve…