Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Mohammad Amin Zarrabian"'
Publikováno v:
Entropy, Vol 25, Iss 4, p 679 (2023)
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 quantify the adversary’s knowledge gain and should be bounded to prot
Externí odkaz:
https://doaj.org/article/e87ce6f6ee9c4d61b4f70f3e093dbc39
This paper proposes a novel watchdog privatization scheme by generalizing local information privacy (LIP) to enhance data utility. To protect the sensitive features $S$ correlated with some useful data $X$, LIP restricts the lift, the ratio of the po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d9fd52099a7f7969d279f1681888657
http://arxiv.org/abs/2205.14549
http://arxiv.org/abs/2205.14549
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
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 method filters out the high-risk data symbols through applying a uniform d
Publikováno v:
ISIT
This paper proposes an $\alpha$-lift measure for data privacy and determines the optimal privatization scheme that minimizes the $\alpha$-lift in the watchdog method. To release data $X$ that is correlated with sensitive information $S$, the ratio $l
Publikováno v:
IEEE Transactions on Vehicular Technology. 68:10134-10144
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 different rates, as dictated by the quality of their individual channel