31 citations · 181 across the 22 of their papers we have counts for
4 papers · 1 filter
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…
TransMIA: Membership Inference Attacks Using Transfer Shadow Training
Seira Hidano, Takao Murakami, Yusuke Kawamoto
Transfer learning has been widely studied and gained increasing popularity to improve the accuracy of machine learning models by transferring some knowledge acquired in different t…
Locality Sensitive Hashing with Extended Differential Privacy
Natasha Fernandes, Yusuke Kawamoto, Takao Murakami
Extended differential privacy, a generalization of standard differential privacy (DP) using a general metric, has been widely studied to provide rigorous privacy guarantees while k…
An Epistemic Approach to the Formal Specification of Statistical Machine Learning
Yusuke Kawamoto
We propose an epistemic approach to formalizing statistical properties of machine learning. Specifically, we introduce a formal model for supervised learning based on a Kripke mode…