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Differentially Private SGDA for Minimax Problems

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

Q. Vera Liao , Kush R. Varshney

* draft for a book chapter 

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

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

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

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AI Explainability 360: Impact and Design

Vijay Arya , Rachel K. E. Bellamy , Pin-Yu Chen , Amit Dhurandhar , Michael Hind , Samuel C. Hoffman , Stephanie Houde , Q. Vera Liao , Ronny Luss , Aleksandra Mojsilovic , Sami Mourad , Pablo Pedemonte , Ramya Raghavendra , John Richards , Prasanna Sattigeri , Karthikeyan Shanmugam , Moninder Singh , Kush R. Varshney , Dennis Wei , Yunfeng Zhang

* arXiv admin note: text overlap with arXiv:1909.03012 

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Towards Interpreting Zoonotic Potential of Betacoronavirus Sequences With Attention

Kahini Wadhawan , Payel Das , Barbara A. Han , Ilya R. Fischhoff , Adrian C. Castellanos , Arvind Varsani , Kush R. Varshney

* 11 pages, 8 figures, 1 table, accepted at ICLR 2021 workshop Machine learning for preventing and combating pandemics 

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Biomedical Interpretable Entity Representations

Diego Garcia-Olano , Yasumasa Onoe , Ioana Baldini , Joydeep Ghosh , Byron C. Wallace , Kush R. Varshney

* Accepted into Findings of ACL-IJCNLP 2021 

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Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI

Soumya Ghosh , Q. Vera Liao , Karthikeyan Natesan Ramamurthy , Jiri Navratil , Prasanna Sattigeri , Kush R. Varshney , Yunfeng Zhang

* Added references 

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Socially Responsible AI Algorithms: Issues, Purposes, and Challenges

Lu Cheng , Kush R. Varshney , Huan Liu

* 45 pages, 7 figures 

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