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07/01/2018
Gradient Reversal Against Discrimination
No methods currently exist for making arbitrary neural networks fair. In...
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06/15/2018
Non-Negative Networks Against Adversarial Attacks
Adversarial attacks against Neural Networks are a problem of considerabl...
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06/13/2018
What About Applied Fairness?
Machine learning practitioners are often ambivalent about the ethical as...
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03/30/2018
Engineering a Simplified 0-Bit Consistent Weighted Sampling
The Min-Hashing approach to sketching has become an important tool in da...
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12/21/2017
Fair Forests: Regularized Tree Induction to Minimize Model Bias
The potential lack of fairness in the outputs of machine learning algori...
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10/25/2017
Malware Detection by Eating a Whole EXE
In this work we introduce malware detection from raw byte sequences as a...
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09/05/2017
Learning the PE Header, Malware Detection with Minimal Domain Knowledge
Many efforts have been made to use various forms of domain knowledge in ...
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06/26/2013