438 citations · 690 across the 7 of their papers we have counts for
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cs.LG2020★ 65 cited
Differentially Private Learning Needs Better Features (or Much More Data)
Florian Tramèr, Dan Boneh
We demonstrate that differentially private machine learning has not yet reached its "AlexNet moment" on many canonical vision tasks: linear models trained on handcrafted features s…
cs.LG2019
Adversarial Training and Robustness for Multiple Perturbations
Florian Tramèr, Dan Boneh
Defenses against adversarial examples, such as adversarial training, are typically tailored to a single perturbation type (e.g., small -noise). For other perturbations…