17 citations · 17 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 17 cited
Verifying Individual Fairness in Machine Learning Models
Philips George John, Deepak Vijaykeerthy, Diptikalyan Saha
We consider the problem of whether a given decision model, working with structured data, has individual fairness. Following the work of Dwork, a model is individually biased (or un…
cs.CC2019
Average Bias and Polynomial Sources
Arnab Bhattacharyya, Philips George John, Suprovat Ghoshal +1
We identify a new notion of pseudorandomness for randomness sources, which we call the average bias. Given a distribution over , its average bias is: $b_{\text{av}}(…