Imperial College London

DrHamedHaddadi

Faculty of EngineeringDyson School of Design Engineering

Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 2584h.haddadi Website

 
 
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Location

 

Dyson BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@unpublished{Osia,
author = {Osia, SA and Rassouli, B and Haddadi, H and Rabiee, HR and Gündüz, D},
title = {Privacy Against Brute-Force Inference Attacks},
url = {http://arxiv.org/abs/1902.00329v1},
}

RIS format (EndNote, RefMan)

TY  - UNPB
AB - Privacy-preserving data release is about disclosing information about usefuldata while retaining the privacy of sensitive data. Assuming that the sensitivedata is threatened by a brute-force adversary, we define Guessing Leakage as ameasure of privacy, based on the concept of guessing. After investigating theproperties of this measure, we derive the optimal utility-privacy trade-off viaa linear program with any $f$-information adopted as the utility measure, andshow that the optimal utility is a concave and piece-wise linear function ofthe privacy-leakage budget.
AU - Osia,SA
AU - Rassouli,B
AU - Haddadi,H
AU - Rabiee,HR
AU - Gündüz,D
TI - Privacy Against Brute-Force Inference Attacks
UR - http://arxiv.org/abs/1902.00329v1
ER -