5 papers
Information Density Bounds for Privacy
Sara Saeidian, Leonhard Grosse, Parastoo Sadeghi +2
This paper explores the implications of guaranteeing privacy by imposing a lower bound on the information density between the private and the public data. We introduce a novel and…
Sparse Point-wise Privacy Leakage: Mechanism Design and Fundamental Limits
Amirreza Zamani, Sajad Daei, Parastoo Sadeghi +1
We study an information-theoretic privacy mechanism design problem, where an agent observes useful data that is arbitrarily correlated with sensitive data , and design discl…
Privacy-Utility Trade-offs Under Multi-Level Point-Wise Leakage Constraints
Amirreza Zamani, Parastoo Sadeghi, Mikael Skoglund
An information-theoretic privacy mechanism design is studied, where an agent observes useful data which is correlated with the private data . The agent wants to reveal the i…
An Extension of the Adversarial Threat Model in Quantitative Information Flow
Mohammad Amin Zarrabian, Parastoo Sadeghi
In this paper, we propose an extended framework for quantitative information flow (QIF), aligned with the previously proposed core-concave generalization of entropy measures, to in…
An Information Geometric Approach to Local Information Privacy with Applications to Max-lift and Local Differential Privacy
Amirreza Zamani, Parastoo Sadeghi, Mikael Skoglund
We study an information-theoretic privacy mechanism design, where an agent observes useful data and wants to reveal the information to a user. Since the useful data is correlat…