10 citations · 12 across the 2 of their papers we have counts for
3 papers
DOCTOR: A Simple Method for Detecting Misclassification Errors
Federica Granese, Marco Romanelli, Daniele Gorla +2
Deep neural networks (DNNs) have shown to perform very well on large scale object recognition problems and lead to widespread use for real-world applications, including situations…
Feature selection in machine learning: Rényi min-entropy vs Shannon entropy
Catuscia Palamidessi, Marco Romanelli
Feature selection, in the context of machine learning, is the process of separating the highly predictive feature from those that might be irrelevant or redundant. Information theo…
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…