Diptikalyan Saha

According to our database, Diptikalyan Saha authored at least 58 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Chaos Recommendation Tool for Reliability Testing in Large-Scale Cloud-Native Systems.

Mudit Verma, Sandeep Hans, Diptikalyan Saha, Praveen Jayachandran, Eitan Farchi, Naga Ravi Chaitanya Elluri, Tullio Sebastiani, Paige Rubendall, Yogananth Subramanian, Pradeep Surisetty, Brian Riordan

Proceedings of the 16th International Conference on COMmunication Systems & NETworkS, 2024

Tabular Data Synthesis with GANs for Adaptive AI Models.

Sandeep Hans, Anupam Sanghi, Diptikalyan Saha

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023

Software testing in the machine learning era.

Andrea Stocco, Onn Shehory, Gunel Jahangirova, Vincenzo Riccio, Guy Barash, Eitan Farchi, Diptikalyan Saha

Empir. Softw. Eng., June, 2023

Interpretable differencing of machine learning models.

Swagatam Haldar, Diptikalyan Saha, Dennis Wei, Rahul Nair, Elizabeth M. Daly

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Counterfactual Sentence Generation with Plug-and-Play Perturbation.

Nishtha Madaan, Diptikalyan Saha, Srikanta Bedathur

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

A Report on Tutorials and Tech-Briefings co-located with ISEC 2023.

Diptikalyan Saha, Shiva Nejati

Proceedings of the 16th Innovations in Software Engineering Conference, 2023

Explainable Data Imputation using Constraints.

Sandeep Hans, Diptikalyan Saha, Aniya Aggarwal

Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

Global Explanations for Multivariate time series models.

Vijay Arya, Diptikalyan Saha, Sandeep Hans, Amaresh Rajasekharan, Tony Tang

Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

DetAIL: A Tool to Automatically Detect and Analyze Drift in Language.

Nishtha Madaan, Adithya Manjunatha, Hrithik Nambiar, Aviral Kumar Goel, Harivansh Kumar, Diptikalyan Saha, Srikanta Bedathur

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Plug and Play Counterfactual Text Generation for Model Robustness.

Nishtha Madaan, Srikanta Bedathur, Diptikalyan Saha

CoRR, 2022

FROTE: Feedback Rule-Driven Oversampling for Editing Models.

Oznur Alkan, Dennis Wei, Massimiliano Mattetti, Rahul Nair, Elizabeth Daly, Diptikalyan Saha

Proceedings of Machine Learning and Systems 2022, 2022

Data Synthesis for Testing Black-Box Machine Learning Models.

Diptikalyan Saha, Aniya Aggarwal, Sandeep Hans

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

2021

Automated Testing of AI Models.

Swagatam Haldar, Deepak Vijaykeerthy, Diptikalyan Saha

CoRR, 2021

Towards API Testing Across Cloud and Edge.

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

CoRR, 2021

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 C. Guttula, Abhinav Jain, Lokesh Nagalapatti, Sameep Mehta, Sandeep Hans, Pranay Lohia, Aniya Aggarwal, Diptikalyan Saha

CoRR, 2021

Testing Framework for Black-box AI Models.

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

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

Optimizing Interpretation Generation in Natural Language Query Answering for Real Time End Users.

Jaydeep Sen, Diptikalyan Saha, Ashish R. Mittal, Karthik Sankaranarayanan

Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

Bootstrapping Chatbot Interfaces to Databases.

Ashish R. Mittal, Diptikalyan Saha, Parag Jain, Jaydeep Sen, Manasa Jammi, Karthik Sankaranarayanan

Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

Reliable Counterfactual Explanations for Autoencoder based Anomalies.

Swastik Haldar, Philips George John, Diptikalyan Saha

Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text.

Nishtha Madaan, Inkit Padhi, Naveen Panwar, Diptikalyan Saha

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

ATHENA++: Natural Language Querying for Complex Nested SQL Queries.

Jaydeep Sen, Chuan Lei, Abdul Quamar, Fatma Özcan, Vasilis Efthymiou, Ayushi Dalmia, Greg Stager, Ashish R. Mittal, Diptikalyan Saha, Karthik Sankaranarayanan

Proc. VLDB Endow., 2020

Verifying Individual Fairness in Machine Learning Models.

Philips George John, Deepak Vijaykeerthy, Diptikalyan Saha

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019

Think Your Artificial Intelligence Software Is Fair? Think Again.

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

IEEE Softw., 2019

AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias.

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

IBM J. Res. Dev., 2019

Black box fairness testing of machine learning models.

Aniya Aggarwal, Pranay Lohia, Seema Nagar, Kuntal Dey, Diptikalyan Saha

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Natural Language Querying of Complex Business Intelligence Queries.

Jaydeep Sen, Fatma Ozcan, Abdul Quamar, Greg Stager, Ashish R. Mittal, Manasa Jammi, Chuan Lei, Diptikalyan Saha, Karthik Sankaranarayanan

Proceedings of the 2019 International Conference on Management of Data, 2019

Bias Mitigation Post-processing for Individual and Group Fairness.

Pranay Kr. Lohia, Karthikeyan Natesan Ramamurthy, Manish Bhide, Diptikalyan Saha, Kush R. Varshney, Ruchir Puri

Proceedings of the IEEE International Conference on Acoustics, 2019

Goal-based Ontology Creation for Natural Language Querying in SAP-ERP Platform.

Neelamadhav Gantayat, Diptikalyan Saha, Jaydeep Sen, Senthil Mani

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

2018

Tooling Framework for Instantiating Natural Language Querying System.

Manasa Jammi, Jaydeep Sen, Ashish R. Mittal, Sagar Verma, Vardaan Pahuja, Rema Ananthanarayanan, Pranay Lohia, Hima Karanam, Diptikalyan Saha, Karthik Sankaranarayanan

Proc. VLDB Endow., 2018

Ontology-Based Natural Language Query Interfaces for Data Exploration.

Chuan Lei, Fatma Özcan, Abdul Quamar, Ashish R. Mittal, Jaydeep Sen, Diptikalyan Saha, Karthik Sankaranarayanan

IEEE Data Eng. Bull., 2018

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias.

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

CoRR, 2018

Automated Test Generation to Detect Individual Discrimination in AI Models.

Aniya Aggarwal, Pranay Lohia, Seema Nagar, Kuntal Dey, Diptikalyan Saha

CoRR, 2018

An Ontology based Dialog Interface to Database.

Ashish R. Mittal, Jaydeep Sen, Diptikalyan Saha, Karthik Sankaranarayanan

Proceedings of the 2018 International Conference on Management of Data, 2018

Functional Partitioning of Ontologies for Natural Language Query Completion in Question Answering Systems.

Jaydeep Sen, Ashish R. Mittal, Diptikalyan Saha, Karthik Sankaranarayanan

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Creation and Interaction with Large-scale Domain-Specific Knowledge Bases.

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

Proc. VLDB Endow., 2017

Natural language querying in SAP-ERP platform.

Diptikalyan Saha, Neelamadhav Gantayat, Senthil Mani, Barry Mitchell

Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, 2017

2016

ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores.

Diptikalyan Saha, Avrilia Floratou, Karthik Sankaranarayanan, Umar Farooq Minhas, Ashish R. Mittal, Fatma Özcan

Proc. VLDB Endow., 2016

Delta Refactoring for Merge Conflict Avoidance.

Diptikalyan Saha, Pankaj Dhoolia, Manav Garg, V. Vaibhav

Proceedings of the 9th India Software Engineering Conference, 2016

2015

P3: partitioned path profiling.

Mohammed Afraz, Diptikalyan Saha, Aditya Kanade

Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering, 2015

Detecting and Mitigating Secret-Key Leaks in Source Code Repositories.

Vibha Singhal Sinha, Diptikalyan Saha, Pankaj Dhoolia, Rohan Padhye, Senthil Mani

Proceedings of the 12th IEEE/ACM Working Conference on Mining Software Repositories, 2015

Service Mining from Legacy Database Applications.

Diptikalyan Saha

Proceedings of the 2015 IEEE International Conference on Web Services, 2015

2014

Data-guided repair of selection statements.

Divya Gopinath, Sarfraz Khurshid, Diptikalyan Saha, Satish Chandra

Proceedings of the 36th International Conference on Software Engineering, 2014

2013

Distributed program tracing.

Diptikalyan Saha, Pankaj Dhoolia, Gaurab Paul

Proceedings of the Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering, 2013

2011

Fault localization for data-centric programs.

Diptikalyan Saha, Mangala Gowri Nanda, Pankaj Dhoolia, V. Krishna Nandivada, Vibha Sinha, Satish Chandra

Proceedings of the SIGSOFT/FSE'11 19th ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE-19) and ESEC'11: 13th European Software Engineering Conference (ESEC-13), 2011

A framework for analyzing programs written in proprietary languages.

V. Krishna Nandivada, Mangala Gowri Nanda, Pankaj Dhoolia, Diptikalyan Saha, Anjan Nandy, Anup Ghosh

Proceedings of the Companion to the 26th Annual ACM SIGPLAN Conference on Object-Oriented Programming, 2011

Gramin: a system for incremental learning of programming language grammars.

Diptikalyan Saha, Vishal Narula

Proceedings of the Proceeding of the 4th Annual India Software Engineering Conference, 2011

2009

A simple and efficient explicit parallelization of logic programs using low-level threading primitives

Diptikalyan Saha, Paul Fodor

CoRR, 2009

2008

Extending logical attack graphs for efficient vulnerability analysis.

Diptikalyan Saha

Proceedings of the 2008 ACM Conference on Computer and Communications Security, 2008

2007

Automatic Incrementalization of Prolog Based Static Analyses.

Michael Eichberg, Matthias Kahl, Diptikalyan Saha, Mira Mezini, Klaus Ostermann

Proceedings of the Practical Aspects of Declarative Languages, 9th International Symposium, 2007

An Incremental Bisimulation Algorithm.

Diptikalyan Saha

Proceedings of the FSTTCS 2007: Foundations of Software Technology and Theoretical Computer Science, 2007

2006

Incremental Evaluation of Tabled Prolog: Beyond Pure Logic Programs.

Diptikalyan Saha, C. R. Ramakrishnan

Proceedings of the Practical Aspects of Declarative Languages, 8th International Symposium, 2006

A Local Algorithm for Incremental Evaluation of Tabled Logic Programs.

Diptikalyan Saha, C. R. Ramakrishnan

Proceedings of the Logic Programming, 22nd International Conference, 2006

2005

FocusCheck: A Tool for Model Checking and Debugging Sequential C Programs.

Curtis W. Keller, Diptikalyan Saha, Samik Basu, Scott A. Smolka

Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2005

Incremental and demand-driven points-to analysis using logic programming.

Diptikalyan Saha, C. R. Ramakrishnan

Proceedings of the 7th International ACM SIGPLAN Conference on Principles and Practice of Declarative Programming, 2005

Symbolic Support Graph: A Space Efficient Data Structure for Incremental Tabled Evaluation.

Diptikalyan Saha, C. R. Ramakrishnan

Proceedings of the Logic Programming, 21st International Conference, 2005

2004

Localizing Program Errors for Cimple Debugging.

Samik Basu, Diptikalyan Saha, Scott A. Smolka

Proceedings of the Formal Techniques for Networked and Distributed Systems, 2004

2003

Incremental Evaluation of Tabled Logic Programs.

Diptikalyan Saha, C. R. Ramakrishnan

Proceedings of the Logic Programming, 19th International Conference, 2003

Generation of All Counter-Examples for Push-Down Systems.

Samik Basu, Diptikalyan Saha, Yow-Jian Lin, Scott A. Smolka

Proceedings of the Formal Techniques for Networked and Distributed Systems - FORTE 2003, 23rd IFIP WG 6.1 International Conference, Berlin, Germany, September 29, 2003