95 citations · 284 across the 17 of their papers we have counts for
4 papers · 1 filter
Latent Factor Interpretations for Collaborative Filtering
Anupam Datta, Sophia Kovaleva, Piotr Mardziel +1
Many machine learning systems utilize latent factors as internal representations for making predictions. Since these latent factors are largely uninterpreted, however, predictions…
Proxy Non-Discrimination in Data-Driven Systems
Anupam Datta, Matt Fredrikson, Gihyuk Ko +2
Machine learnt systems inherit biases against protected classes, historically disparaged groups, from training data. Usually, these biases are not explicit, they rely on subtle cor…
Use Privacy in Data-Driven Systems: Theory and Experiments with Machine Learnt Programs
Anupam Datta, Matthew Fredrikson, Gihyuk Ko +2
This paper presents an approach to formalizing and enforcing a class of use privacy properties in data-driven systems. In contrast to prior work, we focus on use restrictions on pr…
Quantifying vulnerability of secret generation using hyper-distributions (extended version)
Mário S. Alvim, Piotr Mardziel, Michael Hicks
Traditional approaches to Quantitative Information Flow (QIF) represent the adversary's prior knowledge of possible secret values as a single probability distribution. This represe…