Primary tabs

Most recent publications

Y. Yakimenka, H. Lin, E. Rosnes and J. Kliewer

Optimal rate-distortion-leakage tradeoff for single-server information retrieval

IEEE Journal on Selected Areas in Communications (IEEE JSAC) 40, no. March (2022): 832-846.
Journal Article
2022
View
Y. Yakimenka, H. Lin, E. Rosnes and J. Kliewer

Optimal rate-distortion-leakage tradeoff for single-server information retrieval

In IEEE International Symposium on Information Theory (ISIT). IEEE, 2021.
Proceedings, refereed
2021
View
Y. Yakimenka, H. Lin and E. Rosnes

On the capacity of private monomial computation

In International Zurich Seminar on Information and Communication. ETH Zurich, 2020.
Proceedings, refereed
2020
View
Y. Yakimenka and E. Rosnes

Failure analysis of the interval-passing algorithm for compressed sensing

IEEE Transactions on Information Theory 66, no. 4 (2020): 2466-2486.
Journal Article
2020
View

Find publication

Status

Departments

Publication type

Year published

Export 5 results:
2022

Journal articles

Y. Yakimenka, H. Lin, E. Rosnes and J. Kliewer

Optimal rate-distortion-leakage tradeoff for single-server information retrieval

IEEE Journal on Selected Areas in Communications (IEEE JSAC) 40, no. March (2022): 832-846.
Status: Published
2021

Proceedings, refereed

Y. Yakimenka, H. Lin, E. Rosnes and J. Kliewer

Optimal rate-distortion-leakage tradeoff for single-server information retrieval

In IEEE International Symposium on Information Theory (ISIT). IEEE, 2021.
Status: Published
2020

Journal articles

Y. Yakimenka and E. Rosnes

Failure analysis of the interval-passing algorithm for compressed sensing

IEEE Transactions on Information Theory 66, no. 4 (2020): 2466-2486.
Status: Published

Proceedings, refereed

Y. Yakimenka, H. Lin and E. Rosnes

On the capacity of private monomial computation

In International Zurich Seminar on Information and Communication. ETH Zurich, 2020.
Status: Published

Talks, contributed

C. Weng, Y. Yakimenka, H. Lin, E. Rosnes and J. Kliewer

Generative adversarial user privacy in lossy single-server information retrieval

In The NeurIPS Workshop on Privacy Preserving Machine Learning - PRIML and PPML Joint Edition, Vancouver, Canada (virtual), 2020.
Status: Published