536 citations · 882 across the 18 of their papers we have counts for
3 papers · 1 filter
Low Latency Privacy Preserving Inference
Alon Brutzkus, Oren Elisha, Ran Gilad-Bachrach
When applying machine learning to sensitive data, one has to find a balance between accuracy, information security, and computational-complexity. Recent studies combined Homomorphi…
Turning Lemons into Peaches using Secure Computation
Stav Buchsbaum, Ran Gilad-Bachrach, Yehuda Lindell
In many cases, assessing the quality of goods is hard. For example, when purchasing a car, it is hard to measure how pollutant the car is since there are infinitely many driving co…
Modeling and Simultaneously Removing Bias via Adversarial Neural Networks
John Moore, Joel Pfeiffer, Kai Wei +5
In real world systems, the predictions of deployed Machine Learned models affect the training data available to build subsequent models. This introduces a bias in the training data…