We present a fast marching level set method for monotonically advancing fronts, which leads to an extremely fast scheme for solving the Eikonal equation. Level set methods are numerical techniques for computing the position of propagating fronts. They rely on an initial value partial differential

We identify and investigate a strong connection between probabilistic inference and differential privacy, the latter being a recent privacy definition that permits only indirect observation of data through noisy measurement. Previous research on differential privacy has focused on designing

on top of theCoq proof assistant. The central component ofCertiPriv is a quantitative extension of a probabilistic relational Hoare logic that enables one to derive differential privacy guarantees for programs from first principles. We demonstrate the expressiveness of CertiPriv using a number

of the infrastructure over a 24-hour day, by avoiding long queues during prime daytime hours and inactive periods during the wee hours of the night. A proper pricing structure known in advance to the captains of the barges will shape their decisions to enter the locks at a moment that is economically most appropriate

Abstract. We review the definition of differential privacy and briefly survey a handful of very recent contributions to the differential privacy frontier. 1 Background Differential privacy is a strong privacy guarantee for an individual’s input to a (randomized) function or sequence of functions

Abstract. A quantification of process’s security by differential privacy is defined and studied in the framework of probabilistic process alge-bras. The resulting (quantitative) security properties are studied and compared with other (qualitative) security notions.

of computation. We con-sider a probabilistic process calculus as a specification formalism for concurrent systems, and we propose a framework for reasoning about the degree of differ-ential privacy provided by such systems. In particular, we investigate the preser-vation of the degree of privacy under

Set-valued data provides enormous opportunities for various data mining tasks. In this paper, we study the problem of publishing set-valued data for data mining tasks under the rigorous differential privacy model. All existing data publishing methods for set-valued data are based on partitionbased

The current trend in the application space towards systems of loosely coupled and dynamically bound components that enables just-in-time integration jeopardizes the security of information that is shared between the broker, the requester, and the provider at runtime. In particular, new advances

and uses of the product vis-à-vis consumption, and investment, as well as the differential appropriation of the product (consumption). The structural principle under which surplus is appropriated and controlled characterizes a mode of production, such as capitalism or statism. The concept of mode