13 citations · 25 across the 13 of their papers we have counts for
4 papers · 1 filter
Portable Causal Fairness Across Synthetic Data Generator Families
Steven Golob, Sikha Pentyala, Martine De Cock
When a statistical agency or regulator releases synthetic data in place of sensitive records, it chooses the generator that produces the table, and can shape that generator so unfa…
Privacy-Preserving Algorithmic Recourse
Sikha Pentyala, Shubham Sharma, Sanjay Kariyappa +2
When individuals are subject to adverse outcomes from machine learning models, providing a recourse path to help achieve a positive outcome is desirable. Recent work has shown that…
PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning
Sikha Pentyala, Nicola Neophytou, Anderson Nascimento +2
Group fairness ensures that the outcome of machine learning (ML) based decision making systems are not biased towards a certain group of people defined by a sensitive attribute suc…
PrivFair: a Library for Privacy-Preserving Fairness Auditing
Sikha Pentyala, David Melanson, Martine De Cock +1
Machine learning (ML) has become prominent in applications that directly affect people's quality of life, including in healthcare, justice, and finance. ML models have been found t…