@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} }