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Subhabrata Majumdar

Representation Noising: A Defence Mechanism Against Harmful Finetuning
2024 · Domenic Rosati, Jan Wehner, et al. · neural information processing systems · 64
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Semantic Consistency for Assuring Reliability of Large Language Models
2023 · Raj, Harsh, Gupta, Vipul, et al. · arXiv (Cornell University) · 46
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Predictive Modeling for Public Health
2015 · Eric Potash, Joe Brew, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 43
Confronting data sparsity to identify potential sources of Zika virus spillover infection among primates
2019 · Barbara A. Han, Subhabrata Majumdar, et al. · Epidemics · 37
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Embedding-based classifiers can detect prompt injection attacks
2024 · Ayub, Md. Ahsan, Majumdar, Subhabrata · arXiv (Cornell University) · 34
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Measuring Reliability of Large Language Models through Semantic Consistency
2022 · Raj, Harsh, Rosati, Domenic, et al. · arXiv (Cornell University) · 33
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Beware of External Validation! - A Comparative Study of Several Validation Techniques used in QSAR Modelling
2018 · Subhabrata Majumdar, Subhash C. Basak · Current Computer - Aided Drug Design · 31
Local dampening: differential privacy for non-numeric queries via local sensitivity
2023 · Victor A. E. Farias, Felipe T. Brito, et al. · The VLDB Journal · 23
Computer-Assisted and Data Driven Approaches for Surveillance, Drug Discovery, and Vaccine Design for the Zika Virus
2019 · Subhash C. Basak, Subhabrata Majumdar, et al. · Pharmaceuticals · 22
Finding Needles in a Haystack: Determining Key Molecular Descriptors Associated with the Blood‐brain Barrier Entry of Chemical Compounds Using Machine Learning
2019 · Subhabrata Majumdar, Subhash C. Basak, et al. · Molecular Informatics · 21
Improving Consistency in Large Language Models through Chain of Guidance
2025 · Raj, Harsh, Gupta, Vipul, et al. · arXiv (Cornell University) · 17
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Editorial: Beware of Naïve q2, use True q2: Some Comments on QSAR Model Building and Cross Validation
2018 · Subhabrata Majumdar, Subhash C. Basak · Current Computer - Aided Drug Design · 15
Global and Local Differentially Private Release of Count-Weighted Graphs
2023 · Felipe T. Brito, Victor A. E. Farias, et al. · Proceedings of the ACM on Management of Data · 13
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Mathematical structural descriptors and mutagenicity assessment: a study with congeneric and diverse datasets$
2018 · S. Majumdar, S.C. Basak, et al. · SAR and QSAR in environmental research · 12
Evaluating Defences against Unsafe Feedback in RLHF
2024 · Rosati, Domenic, Edkins, Giles, et al. · arXiv (Cornell University) · 10
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Fairness, explainability, privacy, and robustness for trustworthy algorithmic decision-making
2023 · Subhabrata Majumdar · Elsevier eBooks · 10
Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs
2020 · Rustamov, Raif, Majumdar, Subhabrata · arXiv (Cornell University) · 10
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Exploring Intrinsic Dimensionality of Chemical Spaces for Robust QSAR Model Development: A Comparison of Several Statistical Approaches
2016 · Subhabrata Majumdar, Subhash Basak · Current Computer - Aided Drug Design · 9
Local dampening
2020 · Victor A. E. Farias, Felipe T. Brito, et al. · Proceedings of the VLDB Endowment · 8
Prediction of Mutagenicity of Chemicals from Their Calculated Molecular Descriptors: A Case Study with Structurally Homogeneous versus Diverse Datasets
2015 · Subhash Basak, Subhabrata Majumdar · Current Computer - Aided Drug Design · 7
Exploring AI ethics in global contexts: a culturally responsive, psychologically realist approach
2025 · Rockwell F. Clancy, Qin Zhu, et al. · AI and Ethics · 6
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EDITORIAL: Chemodescriptor Based QSARs of Structurally Homogeneous Versus Heterogeneous Chemical Data Sets: Some Comments on the Congenericity Principle vis-à-vis Diversity Begets Diversity Principle
2016 · Subhash Basak, Subhabrata Majumdar · Current Computer - Aided Drug Design · 6
Limits of Convergence-Rate Control for Open-Weight Safety
2026 · Rosati, Domenic, Zeng, Xijie, et al. · arXiv (Cornell University) · 5
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Localized LoRA: A Structured Low-Rank Approximation for Efficient Fine-Tuning
2025 · Babak Barazandeh, Subhabrata Majumdar, et al. · International Conference on Machine Learning and Applications · 5
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Towards Algorithmic Fairness in Space-Time: Filling in Black Holes
2022 · Flynn, Cheryl, Guha, Aritra, et al. · arXiv (Cornell University) · 5
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Works count: 63
Citation count: 536
H-index: 13
I10-index: 17
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