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Filters: 1 is biblio_year:2020 and 2 is biblio_year:2016 and 3 is field_publication_state:18 and 4 is field_research_area:589 and 5 is biblio_type:Talks, contributed and Author is Joerg Kliewer  [Reset Search]
2022
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.
S. A. Obead, H. Lin, E. Rosnes and J. Kliewer. "Private linear computation for noncolluding coded databases." IEEE Journal on Selected Areas in Communications (IEEE JSAC) 40, no. March (2022): 847-861.
S. A. Obead, H. Lin, E. Rosnes and J. Kliewer. "Private polynomial function computation for noncolluding coded databases." IEEE Transactions on Information Forensics and Security 17 (2022): 1800-1813.
2020
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.
2018
S. A. Obead, H. Lin, E. Rosnes and J. Kliewer. Capacity of Private Linear Computation for Coded Databases In 56th Annual Allerton Conference on Communication, Control, and Computing. IEEE, 2018.