BibTeX record conf/isvlsi/EbrahimabadiLYK21

download as .bib file

@inproceedings{DBLP:conf/isvlsi/EbrahimabadiLYK21,
  author       = {Mohammad Ebrahimabadi and
                  Wassila Lalouani and
                  Mohamed F. Younis and
                  Naghmeh Karimi},
  title        = {Countering {PUF} Modeling Attacks through Adversarial Machine Learning},
  booktitle    = {{IEEE} Computer Society Annual Symposium on VLSI, {ISVLSI} 2021, Tampa,
                  FL, USA, July 7-9, 2021},
  pages        = {356--361},
  publisher    = {{IEEE}},
  year         = {2021},
  url          = {https://doi.org/10.1109/ISVLSI51109.2021.00071},
  doi          = {10.1109/ISVLSI51109.2021.00071},
  timestamp    = {Wed, 07 Dec 2022 23:12:19 +0100},
  biburl       = {https://dblp.org/rec/conf/isvlsi/EbrahimabadiLYK21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
a service of  Schloss Dagstuhl - Leibniz Center for Informatics