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Found 2 papers, 1 papers with code
Augment then Smooth: Reconciling Differential Privacy with Certified Robustness
Differential privacy and randomized smoothing are effective defenses that provide certifiable guarantees for each of these threats, however, it is not well understood how implementing either defense impacts the other.
Disparate Impact in Differential Privacy from Gradient Misalignment
As machine learning becomes more widespread throughout society, aspects including data privacy and fairness must be carefully considered, and are crucial for deployment in highly regulated industries.
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