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Found 3 papers, 1 papers with code
Unsupervised Detection of Adversarial Examples with Model Explanations
From this insight, we propose an unsupervised detection of adversarial examples using reconstructor networks trained only on model explanations of benign examples.
Proxy Non-Discrimination in Data-Driven Systems
Machine learnt systems inherit biases against protected classes, historically disparaged groups, from training data.
Use Privacy in Data-Driven Systems: Theory and Experiments with Machine Learnt Programs
For a specific instantiation of this definition, we present a program analysis technique that detects instances of proxy use in a model, and provides a witness that identifies which parts of the corresponding program exhibit the behavior.
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