70 citations · 293 across the 33 of their papers we have counts for
5 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…
Case Study: Explaining Diabetic Retinopathy Detection Deep CNNs via Integrated Gradients
Linyi Li, Matt Fredrikson, Shayak Sen +1
In this report, we applied integrated gradients to explaining a neural network for diabetic retinopathy detection. The integrated gradient is an attribution method which measures t…
Differential Privacy as a Causal Property
Michael Carl Tschantz, Shayak Sen, Anupam Datta
We present associative and causal views of differential privacy. Under the associative view, the possibility of dependencies between data points precludes a simple statement of dif…
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…