Differential Privacy: The Pursuit of Protections by Default (A discussion with Miguel Guevara, Damien Desfontaines, Jim Waldo, and Terry Coatta) – November 20, 2020 Volume 18, issue 5 (ACM queue) – Link
Differentially Private SQL with Bounded User Contribution by Royce J Wilson, Celia Yuxin Zhang, William Lam, Damien Desfontaines, Daniel
Simmons-Marengo, and Bryant Gipson – Link
Libraries/Tools
OpenMined PySyft (A library for computing on data you do not own and cannot see) – Link
Opacus (Train PyTorch models with Differential Privacy) – Link
TensorFlow Privacy (Train TensorFlow models with Differential Privacy) – Link
OpenMined (OpenMined is an open-source community whose goal is to make the world more privacy-preserving by lowering the barrier-to-entry to private AI technologies.) – Link
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