410 citations · 583 across the 38 of their papers we have counts for
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cs.SE2026
Towards Reliable Testing of Machine Unlearning
Anna Mazhar, Sainyam Galhotra
Machine learning components are now central to AI-infused software systems, from recommendations and code assistants to clinical decision support. As regulations and governance fra…
cs.SE2025
CAFÉ: Causal Black-Box Testing of Machine Unlearning
Anna Mazhar, Sainyam Galhotra
Machine learning models are increasingly deployed as software components that must evolve as requirements change. When specific training records or features must no longer influenc…
cs.SE2017★ 410 cited
Fairness Testing: Testing Software for Discrimination
Sainyam Galhotra, Yuriy Brun, Alexandra Meliou
This paper defines software fairness and discrimination and develops a testing-based method for measuring if and how much software discriminates, focusing on causality in discrimin…