31 citations · 181 across the 22 of their papers we have counts for
11 papers · 1 filter
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy
Yusuke Kawamoto, Kazumasa Miyake, Koichi Konishi +1
In this article, we propose the Artificial Intelligence Security Taxonomy to systematize the knowledge of threats, vulnerabilities, and security controls of machine-learning-based…
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…
Local Distribution Obfuscation via Probability Coupling
Yusuke Kawamoto, Takao Murakami
We introduce a general model for the local obfuscation of probability distributions by probabilistic perturbation, e.g., by adding differentially private noise, and investigate its…
Local Obfuscation Mechanisms for Hiding Probability Distributions
Yusuke Kawamoto, Takao Murakami
We introduce a formal model for the information leakage of probability distributions and define a notion called distribution privacy as the local differential privacy for probabili…
On the Anonymization of Differentially Private Location Obfuscation
Yusuke Kawamoto, Takao Murakami
Obfuscation techniques in location-based services (LBSs) have been shown useful to hide the concrete locations of service users, whereas they do not necessarily provide the anonymi…
Leakage and Protocol Composition in a Game-Theoretic Perspective
Mário S. Alvim, Konstantinos Chatzikokolakis, Yusuke Kawamoto +1
In the inference attacks studied in Quantitative Information Flow (QIF), the adversary typically tries to interfere with the system in the attempt to increase its leakage of secret…
A Game-Theoretic Approach to Information-Flow Control via Protocol Composition
Mário S. Alvim, Konstantinos Chatzikokolakis, Yusuke Kawamoto +1
In the inference attacks studied in Quantitative Information Flow (QIF), the attacker typically tries to interfere with the system in the attempt to increase its leakage of secret…
Information Leakage Games
Mário S. Alvim, Konstantinos Chatzikokolakis, Yusuke Kawamoto +1
We consider a game-theoretic setting to model the interplay between attacker and defender in the context of information flow, and to reason about their optimal strategies. In contr…
Quantitative Information Flow for Scheduler-Dependent Systems
Yusuke Kawamoto, Thomas Given-Wilson
Quantitative information flow analyses measure how much information on secrets is leaked by publicly observable outputs. One area of interest is to quantify and estimate the inform…