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Most recent publications

M. Bollauf, H. Lin and Ø. Ytrehus

Formally Unimodular Packings for the Gaussian Wiretap Channel

IEEE Transactions on Information Theory (2023).
Journal Article
2023
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P. R. Persson, M. Bollauf, H. Lin and Ø. Ytrehus

On the Secrecy Gain of Isodual Lattices from Tail-Biting Convolutional Codes

In International Symposium on Topics in Coding (ISTC), 2023.
Proceedings, refereed
2023
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M. Bollauf, H. Lin and Ø. Ytrehus

Construction and Secrecy Gain of Formally Unimodular Lattices in Odd Dimensions

In Information Theory Workshop (ITW), 2023.
Proceedings, refereed
2023
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W. Kadir, H. Lin and E. Rosnes

Efficient interpolation-based decoding of Reed-Solomon codes

In IEEE International Symposium on Information Theory (ISIT). IEEE, 2023.
Proceedings, refereed
2023
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Export 29 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

Proceedings, refereed

M. Bollauf, H. Lin and Ø. Ytrehus

The Secrecy Gain of Formally Unimodular Lattices on the Gaussian Wiretap Channel

In International Zurich Seminar on Information and Communication. Zurich: ETH Zurich, 2022.
Status: Published
M. Bollauf, H. Lin and Ø. Ytrehus

On the Secrecy Gain of Formally Unimodular Construction A4 Lattices

In 2022 IEEE International Symposium on Information Theory (ISIT). IEEE, 2022.
Status: Published
Y. Yakimenka, C. Weng, H. Lin, E. Rosnes and J. Kliewer

Straggler-resilient differentially-private decentralized learning

In IEEE Information Theory Workshop (ITW). IEEE, 2022.
Status: Published
2021

Journal articles

H. Lin, S. Kumar, E. Rosnes, A. G. i. Amat and E. Yaakobi

The capacity of single-server weakly-private information retrieval

IEEE Journal on Selected Areas in Information Theory 2, no. March (2021): 415-427.
Status: Published

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

Proceedings, refereed

H. Lin, S. Kumar, E. Rosnes, A. G. i. Amat and E. Yaakobi

The capacity of single-server weakly-private information retrieval

In IEEE International Symposium on Information Theory (ISIT). IEEE, 2020.
Status: Published
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
2019

Journal articles

S. Kumar, H. Lin, E. Rosnes and A. G. i. Amat

Achieving maximum distance separable private information retrieval capacity with linear codes

IEEE Transactions on Information Theory 65, no. July (2019): 4243-4273.
Status: Published