5 citations · 13 across the 16 of their papers we have counts for
Showing 2022 · cs.CRShow all
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cs.CR2022★ 1 cited
Comprehension from Chaos: Towards Informed Consent for Private Computation
Bailey Kacsmar, Vasisht Duddu, Kyle Tilbury +2
Private computation, which includes techniques like multi-party computation and private query execution, holds great promise for enabling organizations to analyze data they and the…
cs.CR2022★ 1 cited
Inferring Sensitive Attributes from Model Explanations
Vasisht Duddu, Antoine Boutet
Model explanations provide transparency into a trained machine learning model's blackbox behavior to a model builder. They indicate the influence of different input attributes to i…
cs.CR2022★ 5 cited
Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks
Jan Aalmoes, Vasisht Duddu, Antoine Boutet
Machine learning (ML) models have been deployed for high-stakes applications. Due to class imbalance in the sensitive attribute observed in the datasets, ML models are unfair on mi…