@article{discovery10154318,
           month = {September},
          number = {9},
          volume = {65},
            note = {This work is licensed under a Creative Commons Attribution 4.0 International License. The images
or other third-party material in this article are included in the Creative Commons license,
unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license,
users will need to obtain permission from the license holder to reproduce the material. To view a copy of this
license, visit http://creativecommons.org/licenses/by/4.0/},
           pages = {48--57},
       publisher = {Association for Computing Machinery (ACM)},
            year = {2022},
         journal = {Communications of the ACM},
           title = {Deploying decentralized, privacy-preserving proximity tracing},
        abstract = {Lessons from a pandemic.},
             url = {http://doi.org/10.1145/3524107},
          author = {Troncoso, Carmela and Bogdanov, Dan and Bugnion, Edouard and Chatel, Sylvain and Cremers, Cas and G{\"u}rses, Seda and Hubaux, Jean-Pierre and Jackson, Dennis and Larus, James R and Lueks, Wouter and Oliveira, Rui and Payer, Mathias and Preneel, Bart and Pyrgelis, Apostolos and Salath{\'e}, Marcel and Stadler, Theresa and Veale, Michael}
}