Diptikalyan Saha
Diptikalyan Saha
Researcher at IBM Research India
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
Bias source identification and de-biasing of a dataset
MA Bhide, PK Lohia, D Saha, M Katari
US Patent 11,475,331, 2022
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
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
Incremental evaluation of tabled logic programs
D Saha, CR Ramakrishnan
International Conference on Logic Programming, 392-406, 2003
Verifying individual fairness in machine learning models
PG John, D Vijaykeerthy, D Saha
Conference on Uncertainty in Artificial Intelligence, 749-758, 2020
Extending logical attack graphs for efficient vulnerability analysis
D Saha
Proceedings of the 15th ACM conference on Computer and communications …, 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
Data-guided repair of selection statements
D Gopinath, S Khurshid, D Saha, S Chandra
Proceedings of the 36th International Conference on Software Engineering …, 2014
An incremental bisimulation algorithm
D Saha
FSTTCS 2007: Foundations of Software Technology and Theoretical Computer …, 2007
AI Fairness 360: an extensible toolkit for detecting
RKE Bellamy, K Dey, M Hind, SC Hoffman, S Houde, K Kannan, P Lohia, ...
Understanding, and Mitigating Unwanted Algorithmic Bias 2, 2018
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
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
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
Automatic incrementalization of prolog based static analyses
M Eichberg, M Kahl, D Saha, M Mezini, K Ostermann
Practical Aspects of Declarative Languages: 9th International Symposium …, 2007
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
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