research
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10/10/2022
fAux: Testing Individual Fairness via Gradient Alignment
Machine learning models are vulnerable to biases that result in unfair t...
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07/07/2022
A Solver + Gradient Descent Training Algorithm for Deep Neural Networks
We present a novel hybrid algorithm for training Deep Neural Networks th...
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04/05/2022
Nonlocal optimization of binary neural networks
We explore training Binary Neural Networks (BNNs) as a discrete variable...
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03/31/2022
Scalable Whitebox Attacks on Tree-based Models
Adversarial robustness is one of the essential safety criteria for guara...
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03/02/2022
PUMA: Performance Unchanged Model Augmentation for Training Data Removal
Preserving the performance of a trained model while removing unique char...
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08/23/2019