@inproceedings {43205,
	title = {Differentially-private collaborative online personalized mean estimation},
	journal = {IEEE International Symposium on Information Theory (ISIT)},
	year = {2023},
	publisher = {IEEE},
	author = {Yakimenka, Yauhen and Weng, Chung-Wei and Lin, Hsuan-Yin and Rosnes, Eirik and Kliewer, Joerg}
}
@article {42983,
	title = {Generative adversarial user privacy in lossy single-server information retrieval},
	journal = {IEEE Transactions on Information Forensics and Security},
	volume = {17},
	year = {2022},
	pages = {3495-3510},
	publisher = {IEEE},
	author = {Weng, Chung-Wei and Yakimenka, Yauhen and Lin, Hsuan-Yin and Rosnes, Eirik and Kliewer, Joerg}
}
@inproceedings {42984,
	title = {Straggler-resilient differentially-private decentralized learning},
	journal = {IEEE Information Theory Workshop (ITW)},
	year = {2022},
	pages = {708-713},
	publisher = {IEEE},
	author = {Yakimenka, Yauhen and Weng, Chung-Wei and Lin, Hsuan-Yin and Rosnes, Eirik and Kliewer, Joerg}
}
@misc {27614,
	title = {Generative adversarial user privacy in lossy single-server information retrieval},
	howpublished = {The NeurIPS Workshop on Privacy Preserving Machine Learning - PRIML and PPML Joint Edition, Vancouver, Canada (virtual)},
	year = {2020},
	author = {Weng, Chung-Wei and Yakimenka, Yauhen and Lin, Hsuan-Yin and Rosnes, Eirik and Kliewer, Joerg}
}
