JPC paper "Differentially Private Fine-tuning of Language Models" wins runner-up Caspar Bowden Award

Many Congratulations to Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin A. Inan, Gautam Kamath, Janardhan Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, and Huishuai Zhang, whose work "Differentially Private Fine-tuning of Language Models" published in Journal of Privacy and Confidentiality, Vol. 14 (2) 2024 has received the runner-up Caspar Bowden Award at PETS 2026.

Make a Submission

about2

The Journal of Privacy and Confidentiality is an open-access multi-disciplinary journal whose purpose is to facilitate the coalescence of research methodologies and activities in the areas of privacy, confidentiality, and disclosure limitation. The JPC seeks to publish a wide range of research and review papers, not only from academia, but also from government (especially official statistical agencies) and industry, and to serve as a forum for exchange of views, discussion, and news. For more information, see the About the Journal page.

spcr-info

Published by the Society for Privacy and Confidentiality Research.

supp

Supplementary materials available:

reviewerg

Information

indexes

Indexed in

clockss

Preserved on CLOCKSS and PKP|PN