activity
20172024
most citedOn the Lift, Related Privacy Measures, and Applications to Privacy-Utility Tradeoffs

17 citations · 17 across the 9 of their papers we have counts for

collaborators

10 papers

cs.IT2024

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…

cs.IT2024

An Algorithm for Enhancing Privacy-Utility Tradeoff in the Privacy Funnel and Other Lift-based Measures

Mohammad Amin Zarrabian, Parastoo Sadeghi

This paper investigates the privacy funnel, a privacy-utility tradeoff problem in which mutual information quantifies both privacy and utility. The objective is to maximize utility…

cs.IT2024

-leakage by Rényi Divergence and Sibson Mutual Information

Ni Ding, Mohammad Amin Zarrabian, Parastoo Sadeghi

For , this paper proposes a -mean information gain measure. Rényi divergence is shown to be the maximum -mean information g…

cs.IT2024

Privacy-Utility Tradeoff Based on -lift

Mohammad Amin Zarrabian, Parastoo Sadeghi

Information density and its exponential form, known as lift, play a central role in information privacy leakage measures. -lift is the power-mean of lift, which is tunable betwe…

cs.IT2024

A Cross Entropy Interpretation of R{é}nyi Entropy for -leakage

Ni Ding, Mohammad Amin Zarrabian, Parastoo Sadeghi

This paper proposes an -leakage measure for by a cross entropy interpretation of R{é}nyi entropy. While Rényi entropy was originally defined as an -mean for…

cs.IT2023★ 17 cited

On the Lift, Related Privacy Measures, and Applications to Privacy-Utility Tradeoffs

Mohammad Amin Zarrabian, Ni Ding, Parastoo Sadeghi

This paper investigates lift, the likelihood ratio between the posterior and prior belief about sensitive features in a dataset. Maximum and minimum lifts over sensitive features q…

cs.IT2022

Asymmetric Local Information Privacy and the Watchdog Mechanism

Mohammad Amin Zarrabian, Ni Ding, Parastoo Sadeghi

This paper proposes a novel watchdog privatization scheme by generalizing local information privacy (LIP) to enhance data utility. To protect the sensitive features correlated…

cs.IT2021

Enhancing Utility in the Watchdog Privacy Mechanism

Mohammad Amin Zarrabian, Ni Ding, Parastoo Sadeghi +1

This paper is concerned with enhancing data utility in the privacy watchdog method for attaining information-theoretic privacy. For a specific privacy constraint, the watchdog meth…

cs.IT2021

-Information-theoretic Privacy Watchdog and Optimal Privatization Scheme

Ni Ding, Mohammad Amin Zarrabian, Parastoo Sadeghi

This paper proposes an -lift measure for data privacy and determines the optimal privatization scheme that minimizes the -lift in the watchdog method. To release data tha…

cs.IT2017

Multirate Packet Delivery In Heterogeneous Broadcast Networks

Mohammad A. Zarrabian, Foroogh S. Tabataba, Sina Molavipour +1

In this paper, we study the problem of multirate packet delivery in heterogeneous packet erasure broadcast networks. The technical challenge is to enable users receive packets at d…