This paper addresses the problem of assessing nicotine dependence. The main objective is
to develop theory‐led suggestions for measures that will be relevant in the early phases of …

This paper introduces g-leakage, a rich generalization of the min-entropy model of
quantitative information flow. In g-leakage, the benefit that an adversary derives from a …

Differential privacy is a notion of privacy that has become very popular in the database
community. Roughly, the idea is that a randomized query mechanism provides sufficient …

Recent research in quantitative theories for information-hiding topics, such as Anonymity
and Secure Information Flow, tend to converge towards the idea of modeling the system as a …

Abstract Information theory provides a range of useful methods to analyse probability
distributions and these techniques have been successfully applied to measure information …

Protecting sensitive information from improper disclosure is a fundamental security goal. It is
complicated, and difficult to achieve, often because of unavoidable or even unpredictable …

In computer security, it is frequently necessary in practice to accept some leakage of
confidential information. This motivates the development of theories of Quantitative …

The observable output of a probabilistic system that processes a secret input might reveal
some information about that input. The system can be modelled as an information-theoretic …

Secrecy is fundamental to computer security, but real systems often cannot avoid leaking
some secret information. For this reason, it is useful to model secrecy quantitatively, thinking …

Quantitative theories of information flow are of growing interest, due to the fundamental
importance of protecting confidential information from improper disclosure, together with the …