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Found 3 papers, 2 papers with code
ScaleFace: Uncertainty-aware Deep Metric Learning
The performance of modern deep learning-based systems dramatically depends on the quality of input objects.
CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks
In safety-critical machine learning applications, it is crucial to defend models against adversarial attacks -- small modifications of the input that change the predictions.
Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations
Currently the most popular method of providing robustness certificates is randomized smoothing where an input is smoothed via some probability distribution.
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