Privacy-Preserving Data Visualization: Reflections on the State of the Art and Research Opportunities. - Kaustav Bhattacharjee; Min Chen 001; Aritra Dasgupta 001 (Comput. Graph. Forum, 2020)

PRIVEE: A Visual Analytic Workflow for Proactive Privacy Risk Inspection of Open Data. - Kaustav Bhattacharjee; Akm Islam; Jaideep Vaidya; Aritra Dasgupta 001 (VizSec, 2022)

VALUE: Visual Analytics driven Linked data Utility Evaluation. - Kaustav Bhattacharjee; Aritra Dasgupta 001 (HILDA@SIGMOD, 2023)

Power to the Data Defenders: Human-Centered Disclosure Risk Calibration of Open Data. - Kaustav Bhattacharjee; Aritra Dasgupta 001 (CoRR, 2023)

Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting. - Kaustav Bhattacharjee; Soumya Kundu; Indrasis Chakraborty; Aritra Dasgupta 001 (ISGT, 2024)

Who should I trust? A Visual Analytics Approach for Comparing Net Load Forecasting Models. - Kaustav Bhattacharjee; Soumya Kundu; Indrasis Chakraborty; Aritra Dasgupta 001 (CoRR, 2024)

TRIVEA: Transparent Ranking Interpretation using Visual Explanation of black-box Algorithmic rankers. - Jun Yuan; Kaustav Bhattacharjee; Akm Zahirul Islam; Aritra Dasgupta 001 (Vis. Comput., 2024)

ReVise: A Human-AI Interface for Incremental Algorithmic Recourse. - Kaustav Bhattacharjee; Jun Yuan; Aritra Dasgupta 001 (CoRR, 2025)