Disparate Impact on Group Accuracy of Linearization for Private Inference

Saswat Das; Marco Romanelli; Ferdinando Fioretto

2024 ICML ICML 2024

Disparate Impact on Group Accuracy of Linearization for Private Inference

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Saswat Das, Marco Romanelli, Ferdinando Fioretto

Topics

Artificial Intelligence > Core AI > Responsible AI Machine Learning > Application Areas > Efficient Computing Deep Learning > Architectures > Neural Networks

Keywords

relu activation minority group private inference accuracy cryptographically secure data linearization

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