Aritra Dasgupta

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 35

Top Topics

Data Visualization

Disclosure Risk

Binary Classifiers

Top Venues

IEEE Trans. Vis. Comput. Graph.

Comput. Graph. Forum

Publications

Ruyi Yang, Jingyu Hu, Zihao Li, Jianli Mu, Tingzhao Yu, Jiangjiang Xia, Xuhong Li, Aritra Dasgupta, Haoyi Xiong
Interpretable Machine Learning for Weather and Climate Prediction: A Survey. CoRR (2024)
Rasheed Almawzan, Atri Chatterjee, Aritra Dasgupta, Swarup Bhunia
LISA: A Multi-Layered Iterative Framework for Hardening Obfuscation with Modular Unit Transformations. ACM Great Lakes Symposium on VLSI (2024)
Jun Yuan, Kaustav Bhattacharjee, Akm Zahirul Islam, Aritra Dasgupta
TRIVEA: Transparent Ranking Interpretation using Visual Explanation of black-box Algorithmic rankers. Vis. Comput. 40 (5) (2024)
John E. Wenskovitch, Corey K. Fallon, Kate Miller, Aritra Dasgupta
Characterizing Interaction Uncertainty in Human-Machine Teams. ICHMS (2024)
Sudipta Paria, Aritra Dasgupta, Swarup Bhunia
Navigating SoC Security Landscape on LLM-Guided Paths. ACM Great Lakes Symposium on VLSI (2024)
Kaustav Bhattacharjee, Soumya Kundu, Indrasis Chakraborty, Aritra Dasgupta
Who should I trust? A Visual Analytics Approach for Comparing Net Load Forecasting Models. CoRR (2024)
Kaustav Bhattacharjee, Soumya Kundu, Indrasis Chakraborty, Aritra Dasgupta
Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting. ISGT (2024)
Sudipta Paria, Aritra Dasgupta, Swarup Bhunia
DiSPEL: A Framework for SoC Security Policy Synthesis and Distributed Enforcement. HOST (2024)
Jackson Fugate, Greg Stitt, Naren Vikram Raj Masna, Aritra Dasgupta, Swarup Bhunia, Nij Dorairaj, David Kehlet
An Exploration of ATPG Methods for Redacted IP and Reconfigurable Hardware. VTS (2023)
Kaustav Bhattacharjee, Aritra Dasgupta
VALUE: Visual Analytics driven Linked data Utility Evaluation. HILDA@SIGMOD (2023)
Sudipta Paria, Aritra Dasgupta, Swarup Bhunia
DIVAS: An LLM-based End-to-End Framework for SoC Security Analysis and Policy-based Protection. CoRR (2023)
Kaustav Bhattacharjee, Aritra Dasgupta
Power to the Data Defenders: Human-Centered Disclosure Risk Calibration of Open Data. CoRR (2023)
Jun Yuan, Aritra Dasgupta
A Human-in-the-loop Workflow for Multi-Factorial Sensitivity Analysis of Algorithmic Rankers. HILDA@SIGMOD (2023)
Kaustav Bhattacharjee, Soumya Kundu, Indrasis Chakraborty, Aritra Dasgupta
Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting. CoRR (2023)
Mona Sloane, Ian Solano-Kamaiko, Jun Yuan, Aritra Dasgupta, Julia Stoyanovich
Introducing contextual transparency for automated decision systems. Nat. Mac. Intell. 5 (3) (2023)
Jun Yuan, Kaustav Bhattacharjee, Akm Zahirul Islam, Aritra Dasgupta
TRIVEA: Transparent Ranking Interpretation using Visual Explanation of Black-Box Algorithmic Rankers. CoRR (2023)
Kaustav Bhattacharjee, Akm Islam, Jaideep Vaidya, Aritra Dasgupta
PRIVEE: A Visual Analytic Workflow for Proactive Privacy Risk Inspection of Open Data. VizSec (2022)
Jun Yuan, Julia Stoyanovich, Aritra Dasgupta
Rankers, Rankees, & Rankings: Peeking into the Pandora's Box from a Socio-Technical Perspective. CoRR (2022)
Abdulrahman Alaql, Aritra Dasgupta, Md Moshiur Rahman, Swarup Bhunia
SEVA: Structural Analysis based Security Evaluation of Sequential Locking. VLSID (2022)
Kaustav Bhattacharjee, Akm Islam, Jaideep Vaidya, Aritra Dasgupta
PRIVEE: A Visual Analytic Workflow for Proactive Privacy Risk Inspection of Open Data. CoRR (2022)
Sahaj Vaidya, Jie Cai, Soumyadeep Basu, Azadeh Naderi, Donghee Yvette Wohn, Aritra Dasgupta
Conceptualizing Visual Analytic Interventions for Content Moderation. IEEE VIS (Short Papers) (2021)
Sahaj Vaidya, Aritra Dasgupta
Knowing what to look for: A Fact-Evidence Reasoning Framework for Decoding Communicative Visualization. IEEE VIS (Short Papers) (2020)
Aritra Dasgupta, Jorge Poco, Bernice E. Rogowitz, Kyungsik Han, Enrico Bertini, Cláudio T. Silva
The Effect of Color Scales on Climate Scientists' Objective and Subjective Performance in Spatial Data Analysis Tasks. IEEE Trans. Vis. Comput. Graph. 26 (3) (2020)
Kaustav Bhattacharjee, Min Chen, Aritra Dasgupta
Privacy-Preserving Data Visualization: Reflections on the State of the Art and Research Opportunities. Comput. Graph. Forum 39 (3) (2020)
Aritra Dasgupta, Hong Wang, Nancy O'Brien, Susannah Burrows
Separating the Wheat from the Chaff: Comparative Visual Cues for Transparent Diagnostics of Competing Models. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Aritra Dasgupta, Robert Kosara, Min Chen
Guess Me If You Can: A Visual Uncertainty Model for Transparent Evaluation of Disclosure Risks in Privacy-Preserving Data Visualization. VizSEC (2019)
Cristian Felix, Aritra Dasgupta, Enrico Bertini
The Exploratory Labeling Assistant: Mixed-Initiative Label Curation with Large Document Collections. UIST (2018)
Aritra Dasgupta, Dustin Lockhart Arendt, Lyndsey Franklin, Pak Chung Wong, Kristin A. Cook
Human Factors in Streaming Data Analysis: Challenges and Opportunities for Information Visualization. Comput. Graph. Forum 37 (1) (2018)
Josua Krause, Aritra Dasgupta, Jordan Swartz, Yindalon Aphinyanaphongs, Enrico Bertini
A Workflow for Visual Diagnostics of Binary Classifiers using Instance-Level Explanations. CoRR (2017)
Paolo Tamagnini, Josua Krause, Aritra Dasgupta, Enrico Bertini
Interpreting Black-Box Classifiers Using Instance-Level Visual Explanations. HILDA@SIGMOD (2017)
Aritra Dasgupta, Susannah Burrows, Kyungsik Han, Philip J. Rasch
Empirical Analysis of the Subjective Impressions and Objective Measures of Domain Scientists' Visual Analytic Judgments. CHI (2017)
Josua Krause, Aritra Dasgupta, Jordan Swartz, Yindalon Aphinyanaphongs, Enrico Bertini
A Workflow for Visual Diagnostics of Binary Classifiers using Instance-Level Explanations. VAST (2017)
Aritra Dasgupta, Joon-Yong Lee, Ryan Wilson, Robert A. Lafrance, Nick Cramer, Kristin A. Cook, Samuel H. Payne
Familiarity Vs Trust: A Comparative Study of Domain Scientists' Trust in Visual Analytics and Conventional Analysis Methods. IEEE Trans. Vis. Comput. Graph. 23 (1) (2017)
Josua Krause, Aritra Dasgupta, Jean-Daniel Fekete, Enrico Bertini
SeekAView: An intelligent dimensionality reduction strategy for navigating high-dimensional data spaces. LDAV (2016)
Aritra Dasgupta, Jorge Poco, Enrico Bertini, Cláudio T. Silva
Reducing the Analytical Bottleneck for Domain Scientists: Lessons from a Climate Data Visualization Case Study. Comput. Sci. Eng. 18 (1) (2016)
Aritra Dasgupta, Robert Kosara, Luke J. Gosink
xploration. Comput. Graph. Forum 34 (3) (2015)
Aritra Dasgupta, Jorge Poco, Yaxing Wei, Robert B. Cook, Enrico Bertini, Cláudio T. Silva
Bridging Theory with Practice: An Exploratory Study of Visualization Use and Design for Climate Model Comparison. IEEE Trans. Vis. Comput. Graph. 21 (9) (2015)
Aritra Dasgupta, Sudipta Debnath, Arabinda Das
Transmission line fault detection and classification using cross-correlation and k-nearest neighbor. Int. J. Knowl. Based Intell. Eng. Syst. 19 (3) (2015)
Jorge Poco, Aritra Dasgupta, Yaxing Wei, William W. Hargrove, Christopher R. Schwalm, Deborah N. Huntzinger, Robert B. Cook, Enrico Bertini, Cláudio T. Silva
Visual Reconciliation of Alternative Similarity Spaces in Climate Modeling. IEEE Trans. Vis. Comput. Graph. 20 (12) (2014)
Jorge Poco, Aritra Dasgupta, Yaxing Wei, William W. Hargrove, Christopher R. Schwalm, Robert B. Cook, Enrico Bertini, Cláudio T. Silva
SimilarityExplorer: A Visual Inter-Comparison Tool for Multifaceted Climate Data. Comput. Graph. Forum 33 (3) (2014)
Brian Duffy, Aritra Dasgupta, Robert Kosara, Simon J. Walton, Min Chen
Measuring Visual Complexity of Cluster-Based Visualizations CoRR (2013)
Aritra Dasgupta, Min Chen, Robert Kosara
Measuring Privacy and Utility in Privacy-Preserving Visualization. Comput. Graph. Forum 32 (8) (2013)
Aritra Dasgupta, Robert Kosara
The importance of tracing data through the visualization pipeline. BELIV (2012)
Aritra Dasgupta, Robert Kosara, Luke J. Gosink
Meta parallel coordinates for visualizing features in large, high-dimensional, time-varying data. LDAV (2012)
Aritra Dasgupta, Min Chen, Robert Kosara
Conceptualizing Visual Uncertainty in Parallel Coordinates. Comput. Graph. Forum 31 (3pt2) (2012)
Aritra Dasgupta, Robert Kosara
Privacy-preserving data visualization using parallel coordinates. Visualization and Data Analysis (2011)
Aritra Dasgupta, Robert Kosara
Adaptive Privacy-Preserving Visualization Using Parallel Coordinates. IEEE Trans. Vis. Comput. Graph. 17 (12) (2011)
Aritra Dasgupta, Robert Kosara
Pargnostics: Screen-Space Metrics for Parallel Coordinates. IEEE Trans. Vis. Comput. Graph. 16 (6) (2010)