14 citations · 27 across the 10 of their papers we have counts for
11 papers
ReVise: A Human-AI Interface for Incremental Algorithmic Recourse
Kaustav Bhattacharjee, Jun Yuan, Aritra Dasgupta
The recent adoption of artificial intelligence in socio-technical systems raises concerns about the black-box nature of the resulting decisions in fields such as hiring, finance, a…
Fooling SHAP with Output Shuffling Attacks
Jun Yuan, Aritra Dasgupta
Explainable AI~(XAI) methods such as SHAP can help discover feature attributions in black-box models. If the method reveals a significant attribution from a ``protected feature'' (…
Who should I trust? A Visual Analytics Approach for Comparing Net Load Forecasting Models
Kaustav Bhattacharjee, Soumya Kundu, Indrasis Chakraborty +1
Net load forecasting is crucial for energy planning and facilitating informed decision-making regarding trade and load distributions. However, evaluating forecasting models' perfor…
Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting
Kaustav Bhattacharjee, Soumya Kundu, Indrasis Chakraborty +1
Accurate net load forecasting is vital for energy planning, aiding decisions on trade and load distribution. However, assessing the performance of forecasting models across diverse…
TRIVEA: Transparent Ranking Interpretation using Visual Explanation of Black-Box Algorithmic Rankers
Jun Yuan, Kaustav Bhattacharjee, Akm Zahirul Islam +1
Ranking schemes drive many real-world decisions, like, where to study, whom to hire, what to buy, etc. Many of these decisions often come with high consequences. For example, a uni…
DIVAS: An LLM-based End-to-End Framework for SoC Security Analysis and Policy-based Protection
Sudipta Paria, Aritra Dasgupta, Swarup Bhunia
Securing critical assets in a bus-based System-On-Chip (SoC) is imperative to mitigate potential vulnerabilities and prevent unauthorized access, ensuring the integrity, availabili…