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Found 3 papers, 2 papers with code
Improving Reproducible Deep Learning Workflows with DeepDIVA
The field of deep learning is experiencing a trend towards producing reproducible research.
Are You Tampering With My Data?
We propose a novel approach towards adversarial attacks on neural networks (NN), focusing on tampering the data used for training instead of generating attacks on trained models.
DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments
We introduce DeepDIVA: an infrastructure designed to enable quick and intuitive setup of reproducible experiments with a large range of useful analysis functionality.
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