1.1k citations · 1.7k across the 19 of their papers we have counts for
22 papers
Self-Defense: Optimal QIF Solutions and Application to Website Fingerprinting
Andreas Athanasiou, Konstantinos Chatzikokolakis, Catuscia Palamidessi
Quantitative Information Flow (QIF) provides a robust information-theoretical framework for designing secure systems with minimal information leakage. While previous research has a…
Exact Optimization of Conformal Predictors via Incremental and Decremental Learning
Giovanni Cherubin, Konstantinos Chatzikokolakis, Martin Jaggi
Conformal Predictors (CP) are wrappers around ML models, providing error guarantees under weak assumptions on the data distribution. They are suitable for a wide range of problems,…
Information Leakage Games: Exploring Information as a Utility Function
Mário S. Alvim, Konstantinos Chatzikokolakis, Yusuke Kawamoto +1
A common goal in the areas of secure information flow and privacy is to build effective defenses against unwanted leakage of information. To this end, one must be able to reason ab…
Bayes Security: A Not So Average Metric
Konstantinos Chatzikokolakis, Giovanni Cherubin, Catuscia Palamidessi +1
Security system designers favor worst-case security metrics, such as those derived from differential privacy (DP), due to the strong guarantees they provide. On the downside, these…
Estimating g-Leakage via Machine Learning
Marco Romanelli, Konstantinos Chatzikokolakis, Catuscia Palamidessi +1
This paper considers the problem of estimating the information leakage of a system in the black-box scenario. It is assumed that the system's internals are unknown to the learner,…
Optimal Obfuscation Mechanisms via Machine Learning
Marco Romanelli, Konstantinos Chatzikokolakis, Catuscia Palamidessi
We consider the problem of obfuscating sensitive information while preserving utility, and we propose a machine learning approach inspired by the generative adversarial networks pa…