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Keeping Up with the Language Models: Robustness-Bias Interplay in NLI Data and Models


May 22, 2023
Ioana Baldini, Chhavi Yadav, Payel Das, Kush R. Varshney

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Towards Healthy AI: Large Language Models Need Therapists Too


Apr 02, 2023
Baihan Lin, Djallel Bouneffouf, Guillermo Cecchi, Kush R. Varshney

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Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions


Feb 17, 2023
Manish Nagireddy, Moninder Singh, Samuel C. Hoffman, Evaline Ju, Karthikeyan Natesan Ramamurthy, Kush R. Varshney

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Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting


Dec 13, 2022
Prasanna Sattigeri, Soumya Ghosh, Inkit Padhi, Pierre Dognin, Kush R. Varshney

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* Accepted at Neurips 2022 

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On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach


Nov 02, 2022
Dennis Wei, Rahul Nair, Amit Dhurandhar, Kush R. Varshney, Elizabeth M. Daly, Moninder Singh

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* Published at NeurIPS 2022 

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Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models


Oct 13, 2022
Sourya Basu, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Vijil Chenthamarakshan, Kush R. Varshney, Lav R. Varshney, Payel Das

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Minimax AUC Fairness: Efficient Algorithm with Provable Convergence


Aug 22, 2022
Zhenhuan Yang, Yan Lok Ko, Kush R. Varshney, Yiming Ying

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Differentially Private SGDA for Minimax Problems


Jan 22, 2022
Zhenhuan Yang, Shu Hu, Yunwen Lei, Kush R. Varshney, Siwei Lyu, Yiming Ying

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Human-Centered Explainable AI (XAI): From Algorithms to User Experiences


Oct 23, 2021
Q. Vera Liao, Kush R. Varshney

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* draft for a book chapter 

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An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness


Sep 29, 2021
Moninder Singh, Gevorg Ghalachyan, Kush R. Varshney, Reginald E. Bryant

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* presented at the 2021 KDD Workshop on Measures and Best Practices for Responsible AI 

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