97 citations · 308 across the 8 of their papers we have counts for
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cs.LG2022★ 1 cited
Fairify: Fairness Verification of Neural Networks
Sumon Biswas, Hridesh Rajan
Fairness of machine learning (ML) software has become a major concern in the recent past. Although recent research on testing and improving fairness have demonstrated impact on rea…
cs.LG2022★ 32 cited
Towards Understanding Fairness and its Composition in Ensemble Machine Learning
Usman Gohar, Sumon Biswas, Hridesh Rajan
Machine Learning (ML) software has been widely adopted in modern society, with reported fairness implications for minority groups based on race, sex, age, etc. Many recent works ha…
cs.SE2022★ 1 cited
An Empirical Study on the Bugs Found while Reusing Pre-trained Natural Language Processing Models
Rangeet Pan, Sumon Biswas, Mohna Chakraborty +2
In NLP, reusing pre-trained models instead of training from scratch has gained popularity; however, NLP models are mostly black boxes, very large, and often require significant res…