Testing Framework for Black-box AI Models
- Aniya Aggarwal
- Samiulla Shaikh
- et al.
- 2021
- ICSE 2021
Publications
34 results for Diptikalyan Saha
Verifying individual fairness in machine learning models
- Philips George John
- Deepak Vijaykeerthy
- et al.
- 2020
- UAI 2020
Bootstrapping Chatbot Interfaces to Databases
- Ashish Mittal
- Diptikalyan Saha
- et al.
- 2021
- CODS-COMAD 2021
Optimizing Interpretation Generation in Natural Language Query Answering for Real Time End Users
- Jaydeep Sen
- Diptikalyan Saha
- et al.
- 2021
- CODS-COMAD 2021
Reliable Counterfactual Explanations for Autoencoder based Anomalies
- Swastik Haldar
- Philips George John
- et al.
- 2021
- CODS-COMAD 2021
Black box fairness testing of machine learning models
- Aniya Aggarwal
- Pranay Lohia
- et al.
- 2019
- ESEC/FSE 2019
AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias
- Rachel Bellamy
- Aleksandra Mojsilovic
- et al.
- 2019
- IBM J. Res. Dev
Think Your Artificial Intelligence Software Is Fair? Think Again
- Rachel Bellamy
- Kuntal Dey
- et al.
- 2019
- IEEE Software
Natural language querying of complex business intelligence queries
- Jaydeep Sen
- Greg Stager
- et al.
- 2019
- SIGMOD 2019
Bias Mitigation Post-processing for Individual and Group Fairness
- Pranay Lohia
- Karthikeyan Natesan Ramamurthy
- et al.
- 2019
- ICASSP 2019