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

Differentially-private collaborative online personalized mean estimation

In IEEE International Symposium on Information Theory (ISIT). IEEE, 2023.
Proceedings, refereed
2023
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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.
Proceedings, refereed
2022
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C. Weng, Y. Yakimenka, H. Lin, E. Rosnes and J. Kliewer

Generative adversarial user privacy in lossy single-server information retrieval

IEEE Transactions on Information Forensics and Security 17 (2022): 3495-3510.
Journal Article
2022
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2023

Proceedings, refereed

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

Differentially-private collaborative online personalized mean estimation

In IEEE International Symposium on Information Theory (ISIT). IEEE, 2023.
Status: Published
2022

Journal articles

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

Generative adversarial user privacy in lossy single-server information retrieval

IEEE Transactions on Information Forensics and Security 17 (2022): 3495-3510.
Status: Published

Proceedings, refereed

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
2020

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