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Plug and Play Counterfactual Text Generation for Model Robustness



Nishtha Madaan , Srikanta Bedathur , Diptikalyan Saha


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Explainable Data Imputation using Constraints



Sandeep Hans , Diptikalyan Saha , Aniya Aggarwal


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FROTE: Feedback Rule-Driven Oversampling for Editing Models



Öznur Alkan , Dennis Wei , Massimiliano Mattetti , Rahul Nair , Elizabeth M. Daly , Diptikalyan Saha

* 23 pages 

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Data Synthesis for Testing Black-Box Machine Learning Models



Diptikalyan Saha , Aniya Aggarwal , Sandeep Hans

* Accepted as a 4-pages short paper in Research track at CODS-COMAD 2022 

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Automated Testing of AI Models



Swagatam Haldar , Deepak Vijaykeerthy , Diptikalyan Saha

* 5 pages, 3 Figures, 4 Tables 

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Towards API Testing Across Cloud and Edge



Samuel Ackerman , Sanjib Choudhury , Nirmit Desai , Eitan Farchi , Dan Gisolfi , Andrew Hicks , Saritha Route , Diptikalyan Saha


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Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets



Nitin Gupta , Hima Patel , Shazia Afzal , Naveen Panwar , Ruhi Sharma Mittal , Shanmukha Guttula , Abhinav Jain , Lokesh Nagalapatti , Sameep Mehta , Sandeep Hans , Pranay Lohia , Aniya Aggarwal , Diptikalyan Saha


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Testing Framework for Black-box AI Models



Aniya Aggarwal , Samiulla Shaikh , Sandeep Hans , Swastik Haldar , Rema Ananthanarayanan , Diptikalyan Saha

* 4 pages Demonstrations track paper accepted at ICSE 2021 

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Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text



Nishtha Madaan , Inkit Padhi , Naveen Panwar , Diptikalyan Saha

* Accepted to appear at AAAI 2021 

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