Export 11 results:
Search results for biblio_year:2018
Filters: 1 is 7330 and 2 is biblio_year:2016 and 3 is field_publication_state:18 and 4 is field_research_area:589 and 5 is biblio_year:2020 and Author is Joerg Kliewer  [Reset Search]
2023
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.
2022
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.
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 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.
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.
2021
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.
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.
2019
S. A. Obead, H. Lin, E. Rosnes and J. Kliewer. On the capacity of private nonlinear computation for replicated databases In IEEE Information Theory Workshop (ITW). IEEE, 2019.
S. A. Obead, H. Lin, E. Rosnes and J. Kliewer. Private polynomial computation for noncolluding coded databases In IEEE International Symposium on Information Theory (ISIT). IEEE, 2019.
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.