Diptikalyan Saha

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 47

Top Topics

Natural Language

Top Venues

Proc. VLDB Endow.

ESEC/SIGSOFT FSE

Publications

Sandeep Hans, Anupam Sanghi, Diptikalyan Saha
Tabular Data Synthesis with GANs for Adaptive AI Models. COMAD/CODS (2024)
Mudit Verma, Sandeep Hans, Diptikalyan Saha, Praveen Jayachandran, Eitan Farchi, Naga Ravi Chaitanya Elluri, Tullio Sebastiani, Paige Rubendall, Yogananth Subramanian, Pradeep Surisetty, Brian Riordan
A Chaos Recommendation Tool for Reliability Testing in Large-Scale Cloud-Native Systems. COMSNETS (2024)
Swagatam Haldar, Diptikalyan Saha, Dennis Wei, Rahul Nair, Elizabeth M. Daly
Interpretable differencing of machine learning models. UAI (2023)
Swagatam Haldar, Diptikalyan Saha, Dennis Wei, Rahul Nair, Elizabeth M. Daly
Interpretable Differencing of Machine Learning Models. CoRR (2023)
Vijay Arya, Diptikalyan Saha, Sandeep Hans, Amaresh Rajasekharan, Tony Tang
Global Explanations for Multivariate time series models. COMAD/CODS (2023)
Sandeep Hans, Diptikalyan Saha, Aniya Aggarwal
Explainable Data Imputation using Constraints. COMAD/CODS (2023)
Andrea Stocco, Onn Shehory, Gunel Jahangirova, Vincenzo Riccio, Guy Barash, Eitan Farchi, Diptikalyan Saha
Software testing in the machine learning era. Empir. Softw. Eng. 28 (3) (2023)
Nishtha Madaan, Adithya Manjunatha, Hrithik Nambiar, Aviral Kumar Goel, Harivansh Kumar, Diptikalyan Saha, Srikanta Bedathur
DetAIL: A Tool to Automatically Detect and Analyze Drift in Language. AAAI (2023)
Nishtha Madaan, Diptikalyan Saha, Srikanta Bedathur
Counterfactual Sentence Generation with Plug-and-Play Perturbation. SaTML (2023)
Diptikalyan Saha, Shiva Nejati
A Report on Tutorials and Tech-Briefings co-located with ISEC 2023. ISEC (2023)
Sandeep Hans, Diptikalyan Saha, Aniya Aggarwal
Explainable Data Imputation using Constraints. CoRR (2022)
Oznur Alkan, Dennis Wei, Massimiliano Mattetti, Rahul Nair, Elizabeth Daly, Diptikalyan Saha
FROTE: Feedback Rule-Driven Oversampling for Editing Models. MLSys (2022)
Nishtha Madaan, Srikanta Bedathur, Diptikalyan Saha
Plug and Play Counterfactual Text Generation for Model Robustness. CoRR (2022)
Nishtha Madaan, Adithya Manjunatha, Hrithik Nambiar, Aviral Kumar Goel, Harivansh Kumar, Diptikalyan Saha, Srikanta Bedathur
DetAIL : A Tool to Automatically Detect and Analyze Drift In Language. CoRR (2022)
Öznur Alkan, Dennis Wei, Massimiliano Mattetti, Rahul Nair, Elizabeth M. Daly, Diptikalyan Saha
FROTE: Feedback Rule-Driven Oversampling for Editing Models. CoRR (2022)
Diptikalyan Saha, Aniya Aggarwal, Sandeep Hans
Data Synthesis for Testing Black-Box Machine Learning Models. COMAD/CODS (2022)
Swastik Haldar, Philips George John, Diptikalyan Saha
Reliable Counterfactual Explanations for Autoencoder based Anomalies. COMAD/CODS (2021)
Ashish R. Mittal, Diptikalyan Saha, Parag Jain, Jaydeep Sen, Manasa Jammi, Karthik Sankaranarayanan
Bootstrapping Chatbot Interfaces to Databases. COMAD/CODS (2021)
Aniya Aggarwal, Samiulla Shaikh, Sandeep Hans, Swastik Haldar, Rema Ananthanarayanan, Diptikalyan Saha
Testing Framework for Black-box AI Models. CoRR (2021)
Samuel Ackerman, Sanjib Choudhury, Nirmit Desai, Eitan Farchi, Dan Gisolfi, Andrew Hicks, Saritha Route, Diptikalyan Saha
Towards API Testing Across Cloud and Edge. CoRR (2021)
Jaydeep Sen, Diptikalyan Saha, Ashish R. Mittal, Karthik Sankaranarayanan
Optimizing Interpretation Generation in Natural Language Query Answering for Real Time End Users. COMAD/CODS (2021)
Aniya Aggarwal, Samiulla Shaikh, Sandeep Hans, Swastik Haldar, Rema Ananthanarayanan, Diptikalyan Saha
Testing Framework for Black-box AI Models. ICSE (Companion Volume) (2021)
Nitin Gupta, Hima Patel, Shazia Afzal, Naveen Panwar, Ruhi Sharma Mittal, Shanmukha C. Guttula, Abhinav Jain, Lokesh Nagalapatti, Sameep Mehta, Sandeep Hans, Pranay Lohia, Aniya Aggarwal, Diptikalyan Saha
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets. CoRR (2021)
Diptikalyan Saha, Aniya Aggarwal, Sandeep Hans
Data Synthesis for Testing Black-Box Machine Learning Models. CoRR (2021)
Nishtha Madaan, Inkit Padhi, Naveen Panwar, Diptikalyan Saha
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text. AAAI (2021)
Swagatam Haldar, Deepak Vijaykeerthy, Diptikalyan Saha
Automated Testing of AI Models. CoRR (2021)
Nishtha Madaan, Inkit Padhi, Naveen Panwar, Diptikalyan Saha
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text. CoRR (2020)
Philips George John, Deepak Vijaykeerthy, Diptikalyan Saha
Verifying Individual Fairness in Machine Learning Models. UAI (2020)
Philips George John, Deepak Vijaykeerthy, Diptikalyan Saha
Verifying Individual Fairness in Machine Learning Models. CoRR (2020)
Jaydeep Sen, Chuan Lei, Abdul Quamar, Fatma Özcan, Vasilis Efthymiou, Ayushi Dalmia, Greg Stager, Ashish R. Mittal, Diptikalyan Saha, Karthik Sankaranarayanan
ATHENA++: Natural Language Querying for Complex Nested SQL Queries. Proc. VLDB Endow. 13 (11) (2020)
Neelamadhav Gantayat, Diptikalyan Saha, Jaydeep Sen, Senthil Mani
Goal-based Ontology Creation for Natural Language Querying in SAP-ERP Platform. COMAD/CODS (2019)
Jaydeep Sen, Fatma Ozcan, Abdul Quamar, Greg Stager, Ashish R. Mittal, Manasa Jammi, Chuan Lei, Diptikalyan Saha, Karthik Sankaranarayanan
Natural Language Querying of Complex Business Intelligence Queries. SIGMOD Conference (2019)
Aniya Aggarwal, Pranay Lohia, Seema Nagar, Kuntal Dey, Diptikalyan Saha
Black box fairness testing of machine learning models. ESEC/SIGSOFT FSE (2019)
Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang
Think Your Artificial Intelligence Software Is Fair? Think Again. IEEE Softw. 36 (4) (2019)
Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Jacquelyn Martino, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang
AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias. IBM J. Res. Dev. 63 (4/5) (2019)
Pranay Kr. Lohia, Karthikeyan Natesan Ramamurthy, Manish Bhide, Diptikalyan Saha, Kush R. Varshney, Ruchir Puri
Bias Mitigation Post-processing for Individual and Group Fairness. ICASSP (2019)
Pranay Kr. Lohia, Karthikeyan Natesan Ramamurthy, Manish Bhide, Diptikalyan Saha, Kush R. Varshney, Ruchir Puri
Bias Mitigation Post-processing for Individual and Group Fairness. CoRR (2018)
Aniya Aggarwal, Pranay Lohia, Seema Nagar, Kuntal Dey, Diptikalyan Saha
Automated Test Generation to Detect Individual Discrimination in AI Models. CoRR (2018)
Jaydeep Sen, Ashish R. Mittal, Diptikalyan Saha, Karthik Sankaranarayanan
Functional Partitioning of Ontologies for Natural Language Query Completion in Question Answering Systems. IJCAI (2018)
Ashish R. Mittal, Jaydeep Sen, Diptikalyan Saha, Karthik Sankaranarayanan
An Ontology based Dialog Interface to Database. SIGMOD Conference (2018)
Manasa Jammi, Jaydeep Sen, Ashish R. Mittal, Sagar Verma, Vardaan Pahuja, Rema Ananthanarayanan, Pranay Lohia, Hima Karanam, Diptikalyan Saha, Karthik Sankaranarayanan
Tooling Framework for Instantiating Natural Language Querying System. Proc. VLDB Endow. 11 (12) (2018)
Chuan Lei, Fatma Özcan, Abdul Quamar, Ashish R. Mittal, Jaydeep Sen, Diptikalyan Saha, Karthik Sankaranarayanan
Ontology-Based Natural Language Query Interfaces for Data Exploration. IEEE Data Eng. Bull. 41 (3) (2018)
Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Jacquelyn Martino, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias. CoRR (2018)
Shreyas Bharadwaj, Laura Chiticariu, Marina Danilevsky, Samarth Dhingra, Samved Divekar, Arnaldo Carreno-Fuentes, Himanshu Gupta, Nitin Gupta, Sang-Don Han, Mauricio A. Hernández, Howard Ho, Parag Jain, Salil Joshi, Hima Karanam, Saravanan Krishnan, Rajasekar Krishnamurthy, Yunyao Li, Satishkumaar Manivannan, Ashish R. Mittal, Fatma Ozcan, Abdul Quamar, Poornima Raman, Diptikalyan Saha, Karthik Sankaranarayanan, Jaydeep Sen, Prithviraj Sen, Shivakumar Vaithyanathan, Mitesh Vasa, Hao Wang, Huaiyu Zhu
Creation and Interaction with Large-scale Domain-Specific Knowledge Bases. Proc. VLDB Endow. 10 (12) (2017)
Diptikalyan Saha, Neelamadhav Gantayat, Senthil Mani, Barry Mitchell
Natural language querying in SAP-ERP platform. ESEC/SIGSOFT FSE (2017)
Diptikalyan Saha, Avrilia Floratou, Karthik Sankaranarayanan, Umar Farooq Minhas, Ashish R. Mittal, Fatma Özcan
ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores. Proc. VLDB Endow. 9 (12) (2016)
Diptikalyan Saha, Pankaj Dhoolia, Manav Garg, V. Vaibhav
Delta Refactoring for Merge Conflict Avoidance. ISEC (2016)
Diptikalyan Saha
Service Mining from Legacy Database Applications. ICWS (2015)
Mohammed Afraz, Diptikalyan Saha, Aditya Kanade
P3: partitioned path profiling. ESEC/SIGSOFT FSE (2015)
Vibha Singhal Sinha, Diptikalyan Saha, Pankaj Dhoolia, Rohan Padhye, Senthil Mani
Detecting and Mitigating Secret-Key Leaks in Source Code Repositories. MSR (2015)
Divya Gopinath, Sarfraz Khurshid, Diptikalyan Saha, Satish Chandra
Data-guided repair of selection statements. ICSE (2014)
Diptikalyan Saha, Pankaj Dhoolia, Gaurab Paul
Distributed program tracing. ESEC/SIGSOFT FSE (2013)
Diptikalyan Saha, Vishal Narula
Gramin: a system for incremental learning of programming language grammars. ISEC (2011)
V. Krishna Nandivada, Mangala Gowri Nanda, Pankaj Dhoolia, Diptikalyan Saha, Anjan Nandy, Anup Ghosh
A framework for analyzing programs written in proprietary languages. OOPSLA Companion (2011)
Diptikalyan Saha, Mangala Gowri Nanda, Pankaj Dhoolia, V. Krishna Nandivada, Vibha Sinha, Satish Chandra
Fault localization for data-centric programs. SIGSOFT FSE (2011)
Diptikalyan Saha, Paul Fodor
A simple and efficient explicit parallelization of logic programs using low-level threading primitives CoRR (2009)
Diptikalyan Saha
Extending logical attack graphs for efficient vulnerability analysis. CCS (2008)
Michael Eichberg, Matthias Kahl, Diptikalyan Saha, Mira Mezini, Klaus Ostermann
Automatic Incrementalization of Prolog Based Static Analyses. PADL (2007)
Diptikalyan Saha
An Incremental Bisimulation Algorithm. FSTTCS (2007)
Diptikalyan Saha, C. R. Ramakrishnan
Incremental Evaluation of Tabled Prolog: Beyond Pure Logic Programs. PADL (2006)
Diptikalyan Saha, C. R. Ramakrishnan
A Local Algorithm for Incremental Evaluation of Tabled Logic Programs. ICLP (2006)
Curtis W. Keller, Diptikalyan Saha, Samik Basu, Scott A. Smolka
FocusCheck: A Tool for Model Checking and Debugging Sequential C Programs. TACAS (2005)
Diptikalyan Saha, C. R. Ramakrishnan
Incremental and demand-driven points-to analysis using logic programming. PPDP (2005)
Diptikalyan Saha, C. R. Ramakrishnan
Symbolic Support Graph: A Space Efficient Data Structure for Incremental Tabled Evaluation. ICLP (2005)
Samik Basu, Diptikalyan Saha, Scott A. Smolka
Localizing Program Errors for Cimple Debugging. FORTE (2004)
Diptikalyan Saha, C. R. Ramakrishnan
Incremental Evaluation of Tabled Logic Programs. ICLP (2003)
Samik Basu, Diptikalyan Saha, Yow-Jian Lin, Scott A. Smolka
Generation of All Counter-Examples for Push-Down Systems. FORTE (2003)