13 citations · 13 across the 3 of their papers we have counts for
5 papers
Fairness Auditing: Lower Bounds on Company Manipulation
Rachit Verma, Padala Manisha, Sujit Gujar
Fairness audits are increasingly mandated in high-stakes applications such as hiring, lending, and automated decision-making. Recent work has established fundamental impossibility…
Federated Learning Meets Fairness and Differential Privacy
Manisha Padala, Sankarshan Damle, Sujit Gujar
Deep learning's unprecedented success raises several ethical concerns ranging from biased predictions to data privacy. Researchers tackle these issues by introducing fairness metri…
Effect of Input Noise Dimension in GANs
Manisha Padala, Debojit Das, Sujit Gujar
Generative Adversarial Networks (GANs) are by far the most successful generative models. Learning the transformation which maps a low dimensional input noise to the data distributi…
FNNC: Achieving Fairness through Neural Networks
Padala Manisha, Sujit Gujar
In classification models fairness can be ensured by solving a constrained optimization problem. We focus on fairness constraints like Disparate Impact, Demographic Parity, and Equa…
Learning Optimal Redistribution Mechanisms through Neural Networks
P Manisha, C V Jawahar, Sujit Gujar
We consider a setting where public resources are to be allocated among competing and strategic agents so as to maximize social welfare (the objects should be allocated to t…