BibTeX record journals/popets/LeeK21

download as .bib file

@article{DBLP:journals/popets/LeeK21,
  author       = {Jaewoo Lee and
                  Daniel Kifer},
  title        = {Scaling up Differentially Private Deep Learning with Fast Per-Example
                  Gradient Clipping},
  journal      = {Proc. Priv. Enhancing Technol.},
  volume       = {2021},
  number       = {1},
  pages        = {128--144},
  year         = {2021},
  url          = {https://doi.org/10.2478/popets-2021-0008},
  doi          = {10.2478/POPETS-2021-0008},
  timestamp    = {Tue, 19 Jan 2021 16:13:51 +0100},
  biburl       = {https://dblp.org/rec/journals/popets/LeeK21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
a service of  Schloss Dagstuhl - Leibniz Center for Informatics