Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias

1 code implementation • 20 Oct 2021 • Sharat Agarwal, Sumanyu Muku, Saket Anand, Chetan Arora

Through a series of experiments, we validate that curating contextually fair data helps make model predictions fair by balancing the true positive rate for the protected class across groups without compromising on the model's overall performance.

Active Learning Attribute +3

A Survey of Black-Box Adversarial Attacks on Computer Vision Models

no code implementations • 3 Dec 2019 • Siddhant Bhambri, Sumanyu Muku, Avinash Tulasi, Arun Balaji Buduru

Machine learning has seen tremendous advances in the past few years, which has lead to deep learning models being deployed in varied applications of day-to-day life.