Search Results for author: Evaline Ju

Found 1 papers, 0 papers with code

Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions

no code implementations17 Feb 2023 Manish Nagireddy, Moninder Singh, Samuel C. Hoffman, Evaline Ju, Karthikeyan Natesan Ramamurthy, Kush R. Varshney

In this paper, focusing specifically on compositions of functions arising from the different pillars, we aim to reduce this gap, develop new insights for trustworthy ML, and answer questions such as the following.

Adversarial Robustness Fairness +1

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