In this paper, we consider the case where data traces are instantiations of Gaussian random variables and the adversary knows not only the structure of the ...

In this paper, we turn our attention to the case where the trace of each user consists of identically distributed Gaussian random variables that are independent ...

In this paper, we consider the case where data traces are instantiations of Gaussian random variables and the adversary knows not only the structure of the ...

Asymptotic Loss in Privacy due to Dependency in Gaussian Traces · Nazanin Takbiri, Ramin Soltani, +2 authors. H. Pishro-Nik · Published in IEEE Wireless ...

Apr 1, 2019 · In this paper, we consider the case where data traces are instantiations of Gaussian random variables and the adversary knows not only the ...

Jan 1, 2019 · This perspective documents the ongoing attempts to undermine the core principles of liberal epistemology and to replace merit with non- ...

Asymptotic Loss in Privacy due to Dependency in Gaussian Traces ... Archived post. New comments cannot be posted and votes cannot be cast.

Jul 12, 2020 · However, because we need to employ learning data and the data points are drawn from Gaussian distributions, there are technical challenges in ...

Pishro-Nik, ”Asymptotic loss in privacy due to dependency in gaussian traces,” IEEE Wireless Communications and Networking Conference (WCNC), 2019. S ...

Asymptotic loss in privacy due to dependency in gaussian traces. N Takbiri, R Soltani, DL Goeckel, A Houmansadr, H Pishro-Nik. 2019 IEEE Wireless ...