| AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias RKE Bellamy, K Dey, M Hind, SC Hoffman, S Houde, K Kannan, P Lohia, ... IBM Journal of Research and Development 63 (4/5), 4: 1-4: 15, 2019 | 2386 | 2019 |
| Bias mitigation post-processing for individual and group fairness PK Lohia, KN Ramamurthy, M Bhide, D Saha, KR Varshney, R Puri Icassp 2019-2019 ieee international conference on acoustics, speech and …, 2019 | 280 | 2019 |
| ATHENA: an ontology-driven system for natural language querying over relational data stores D Saha, A Floratou, K Sankaranarayanan, UF Minhas, AR Mittal, F Özcan Proceedings of the VLDB Endowment 9 (12), 1209-1220, 2016 | 266 | 2016 |
| Black box fairness testing of machine learning models A Aggarwal, P Lohia, S Nagar, K Dey, D Saha Proceedings of the 2019 27th ACM joint meeting on european software …, 2019 | 239 | 2019 |
| Generate your counterfactuals: Towards controlled counterfactual generation for text N Madaan, I Padhi, N Panwar, D Saha Proceedings of the AAAI conference on artificial intelligence 35 (15), 13516 …, 2021 | 130 | 2021 |
| Athena++ natural language querying for complex nested sql queries J Sen, C Lei, A Quamar, F Özcan, V Efthymiou, A Dalmia, G Stager, ... Proceedings of the VLDB Endowment 13 (12), 2747-2759, 2020 | 121 | 2020 |
| Verifying individual fairness in machine learning models PG John, D Vijaykeerthy, D Saha Conference on Uncertainty in Artificial Intelligence, 749-758, 2020 | 99 | 2020 |
| Incremental and demand-driven points-to analysis using logic programming D Saha, CR Ramakrishnan Proceedings of the 7th ACM SIGPLAN international conference on Principles …, 2005 | 96 | 2005 |
| Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets N Gupta, H Patel, S Afzal, N Panwar, RS Mittal, S Guttula, A Jain, ... arXiv preprint arXiv:2108.05935, 2021 | 73 | 2021 |
| Incremental evaluation of tabled logic programs D Saha, CR Ramakrishnan International Conference on Logic Programming, 392-406, 2003 | 73 | 2003 |
| Extending logical attack graphs for efficient vulnerability analysis D Saha Proceedings of the 15th ACM conference on Computer and communications …, 2008 | 72 | 2008 |
| Think your artificial intelligence software is fair? Think again RKE Bellamy, K Dey, M Hind, SC Hoffman, S Houde, K Kannan, P Lohia, ... IEEE Software 36 (4), 76-80, 2019 | 70 | 2019 |
| Detecting and mitigating secret-key leaks in source code repositories VS Sinha, D Saha, P Dhoolia, R Padhye, S Mani 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories, 396-400, 2015 | 60 | 2015 |
| Automated test generation to detect individual discrimination in AI models A Agarwal, P Lohia, S Nagar, K Dey, D Saha arXiv preprint arXiv:1809.03260, 2018 | 55 | 2018 |
| Natural language querying of complex business intelligence queries J Sen, F Ozcan, A Quamar, G Stager, A Mittal, M Jammi, C Lei, D Saha, ... Proceedings of the 2019 International Conference on Management of Data, 1997 …, 2019 | 46 | 2019 |
| Data-guided repair of selection statements D Gopinath, S Khurshid, D Saha, S Chandra Proceedings of the 36th International Conference on Software Engineering …, 2014 | 46 | 2014 |
| An incremental bisimulation algorithm D Saha International Conference on Foundations of Software Technology and …, 2007 | 45 | 2007 |
| Automatic incrementalization of prolog based static analyses M Eichberg, M Kahl, D Saha, M Mezini, K Ostermann International Symposium on Practical Aspects of Declarative Languages, 109-123, 2007 | 42 | 2007 |
| Fault localization for data-centric programs D Saha, MG Nanda, P Dhoolia, VK Nandivada, V Sinha, S Chandra Proceedings of the 19th ACM SIGSOFT symposium and the 13th European …, 2011 | 40 | 2011 |
| Ontology-Based Natural Language Query Interfaces for Data Exploration. C Lei, F Özcan, A Quamar, AR Mittal, J Sen, D Saha, ... IEEE Data Eng. Bull. 41 (3), 52-63, 2018 | 30 | 2018 |
