97 citations · 231 across the 16 of their papers we have counts for
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cs.LG2021★ 97 cited
Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline
Sumon Biswas, Hridesh Rajan
In recent years, many incidents have been reported where machine learning models exhibited discrimination among people based on race, sex, age, etc. Research has been conducted to…
cs.LG2020★ 94 cited
Do the Machine Learning Models on a Crowd Sourced Platform Exhibit Bias? An Empirical Study on Model Fairness
Sumon Biswas, Hridesh Rajan
Machine learning models are increasingly being used in important decision-making software such as approving bank loans, recommending criminal sentencing, hiring employees, and so o…
cs.LG2019★ 7 cited
Identifying Classes Susceptible to Adversarial Attacks
Rangeet Pan, Md Johirul Islam, Shibbir Ahmed +1
Despite numerous attempts to defend deep learning based image classifiers, they remain susceptible to the adversarial attacks. This paper proposes a technique to identify susceptib…