activity
20072023
most citedOn Coding for Cooperative Data Exchange

98 citations · 444 across the 80 of their papers we have counts for

collaborators

87 papers

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.NI2022

Network-Controlled Physical-Layer Security: Enhancing Secrecy Through Friendly Jamming

Sayed Amir Hoseini, Parastoo Sadeghi, Faycal Bouhafs +2

The broadcasting nature of the wireless medium makes exposure to eavesdroppers a potential threat. Physical Layer Security (PLS) has been widely recognized as a promising security…

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.IT2022

Information Leakage in Index Coding With Sensitive and Non-Sensitive Messages

Yucheng Liu, Lawrence Ong, Phee Lep Yeoh +3

Information leakage to a guessing adversary in index coding is studied, where some messages in the system are sensitive and others are not. The non-sensitive messages can be used b…

cs.IT2022

Information Leakage in Index Coding

Yucheng Liu, Lawrence Ong, Phee Lep Yeoh +3

We study the information leakage to a guessing adversary in index coding with a general message distribution. Under both vanishing-error and zero-error decoding assumptions, we dev…

cs.DS2022★ 1 cited

Heterogeneous Differential Privacy via Graphs

Sahel Torkamani, Javad B. Ebrahimi, Parastoo Sadeghi +2

We generalize a previous framework for designing utility-optimal differentially private (DP) mechanisms via graphs, where datasets are vertices in the graph and edges represent dat…