Fast and Robust Supervised Learning in High Dimensions Using the Geometry of the Data. - Ujjal Kumar Mukherjee; Subhabrata Majumdar; Snigdhansu Chatterjee (ICDM, 2015)

Predictive Modeling for Public Health: Preventing Childhood Lead Poisoning. - Eric Potash; Joe Brew; Alexander Loewi; Subhabrata Majumdar; Andrew Reece; Joe Walsh; Eric Rozier; Emile Jorgenson; Raed Mansour; Rayid Ghani (KDD, 2015)

System to Integrate Fairness Transparently: An Industry Approach. - Emily Dodwell; Cheryl J. Flynn; Balachander Krishnamurthy; Subhabrata Majumdar; Ritwik Mitra (CoRR, 2020)

Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity. - Victor A. E. de Farias; Felipe T. Brito; Cheryl J. Flynn; Javam C. Machado; Subhabrata Majumdar; Divesh Srivastava (Proc. VLDB Endow., 2020)

Ultrahigh-Dimensional Robust and Efficient Sparse Regression Using Non-Concave Penalized Density Power Divergence. - Abhik Ghosh; Subhabrata Majumdar (IEEE Trans. Inf. Theory, 2020)

Detecting Bias in the Presence of Spatial Autocorrelation. - Subhabrata Majumdar; Cheryl J. Flynn; Ritwik Mitra (AFCR, 2021)

Towards an Open Global Air Quality Monitoring Platform to Assess Children's Exposure to Air Pollutants in the Light of COVID-19 Lockdowns. - Christina Last; Prithviraj Pramanik; Nikita Saini; Akash Smaran Majety; Do-Hyung Kim; Manuel García-Herranz; Subhabrata Majumdar (CHI Extended Abstracts, 2021)

Evaluating Fairness in the Presence of Spatial Autocorrelation. - Cheryl J. Flynn; Subhabrata Majumdar; Ritwik Mitra (CoRR, 2021)

An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research. - Noemi Derzsy; Subhabrata Majumdar; Rajat Malik (CoRR, 2021)

Generalized Multivariate Signs for Nonparametric Hypothesis Testing in High Dimensions. - Subhabrata Majumdar; Snigdhansu Chatterjee (CoRR, 2021)

Scaling New Peaks: A Viewership-centric Approach to Automated Content Curation. - Subhabrata Majumdar; Deirdre Paul; Eric Zavesky (CoRR, 2021)

Network Security Modelling with Distributional Data. - Subhabrata Majumdar; Ganesh Subramaniam (CAMLIS, 2022)

Feature selection using e-values. - Subhabrata Majumdar; Snigdhansu Chatterjee (ICML, 2022)

Towards Algorithmic Fairness in Space-Time: Filling in Black Holes. - Cheryl J. Flynn; Aritra Guha; Subhabrata Majumdar; Divesh Srivastava; Zhengyi Zhou (CoRR, 2022)

Measuring Reliability of Large Language Models through Semantic Consistency. - Harsh Raj; Domenic Rosati; Subhabrata Majumdar (CoRR, 2022)

Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical Models. - Subhabrata Majumdar; George Michailidis (J. Mach. Learn. Res., 2022)

On weighted multivariate sign functions. - Subhabrata Majumdar; Snigdhansu Chatterjee (J. Multivar. Anal., 2022)

Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs. - Raif M. Rustamov; Subhabrata Majumdar (ICML, 2023)

Semantic Consistency for Assuring Reliability of Large Language Models. - Harsh Raj; Vipul Gupta; Domenic Rosati; Subhabrata Majumdar (CoRR, 2023)

Global and Local Differentially Private Release of Count-Weighted Graphs. - Felipe T. Brito; Victor A. E. de Farias; Cheryl J. Flynn; Subhabrata Majumdar; Javam C. Machado; Divesh Srivastava (Proc. ACM Manag. Data, 2023)

Embedding-based classifiers can detect prompt injection attacks. - Md. Ahsan Ayub; Subhabrata Majumdar (CAMLIS, 2024)

Representation Noising: A Defence Mechanism Against Harmful Finetuning. - Domenic Rosati; Jan Wehner; Kai Williams; Lukasz Bartoszcze; Robie Gonzales; Carsten Maple; Subhabrata Majumdar; Hassan Sajjad 001; Frank Rudzicz (NeurIPS, 2024)

Representation noising effectively prevents harmful fine-tuning on LLMs. - Domenic Rosati; Jan Wehner; Kai Williams; Lukasz Bartoszcze; David Atanasov; Robie Gonzales; Subhabrata Majumdar; Carsten Maple; Hassan Sajjad 001; Frank Rudzicz (CoRR, 2024)

Defending against Reverse Preference Attacks is Difficult. - Domenic Rosati; Giles Edkins; Harsh Raj; David Atanasov; Subhabrata Majumdar; Janarthanan Rajendran; Frank Rudzicz; Hassan Sajjad 001 (CoRR, 2024)

Improving Consistency in Large Language Models through Chain of Guidance. - Harsh Raj; Vipul Gupta; Domenic Rosati; Subhabrata Majumdar (Trans. Mach. Learn. Res., 2025)

Consistency in Language Models: Current Landscape, Challenges, and Future Directions. - Jekaterina Novikova; Carol Anderson; Borhane Blili-Hamelin; Subhabrata Majumdar (CoRR, 2025)

Red Teaming AI Red Teaming. - Subhabrata Majumdar; Brian Pendleton; Abhishek Gupta (CoRR, 2025)