• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 28 matches

• 2024
• 
  Domenic Rosati, Jan Wehner, Kai Williams, Lukasz Bartoszcze, David Atanasov, Robie Gonzales, Subhabrata Majumdar, Carsten Maple, Hassan Sajjad, Frank Rudzicz:
  Representation noising effectively prevents harmful fine-tuning on LLMs. CoRR abs/2405.14577 (2024)
• 
  Domenic Rosati, Giles Edkins, Harsh Raj, David Atanasov, Subhabrata Majumdar, Janarthanan Rajendran, Frank Rudzicz, Hassan Sajjad:
  Defending against Reverse Preference Attacks is Difficult. CoRR abs/2409.12914 (2024)
• 
  Md. Ahsan Ayub, Subhabrata Majumdar:
  Embedding-based classifiers can detect prompt injection attacks. CoRR abs/2410.22284 (2024)
• 2023
• 
  Felipe T. Brito, Victor A. E. de Farias, Cheryl J. Flynn, Subhabrata Majumdar, Javam C. Machado, Divesh Srivastava:
  Global and Local Differentially Private Release of Count-Weighted Graphs. Proc. ACM Manag. Data 1(2): 154:1-154:25 (2023)
• 
  Victor A. E. de Farias, Felipe T. Brito, Cheryl J. Flynn, Javam C. Machado, Subhabrata Majumdar, Divesh Srivastava:
  Local dampening: differential privacy for non-numeric queries via local sensitivity. VLDB J. 32(6): 1191-1214 (2023)
• 
  Raif M. Rustamov, Subhabrata Majumdar:
  Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs. ICML 2023: 29388-29415
• 
  Harsh Raj, Vipul Gupta, Domenic Rosati, Subhabrata Majumdar:
  Semantic Consistency for Assuring Reliability of Large Language Models. CoRR abs/2308.09138 (2023)
• 2022
• 
  Subhabrata Majumdar, George Michailidis:
  Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical Models. J. Mach. Learn. Res. 23: 1:1-1:53 (2022)
• 
  Subhabrata Majumdar, Snigdhansu Chatterjee:
  On weighted multivariate sign functions. J. Multivar. Anal. 191: 105013 (2022)
• 
  Subhabrata Majumdar, Ganesh Subramaniam:
  Network Security Modelling with Distributional Data. CAMLIS 2022: 52-64
• 
  Subhabrata Majumdar, Snigdhansu Chatterjee:
  Feature selection using e-values. ICML 2022: 14753-14773
• 
  Subhabrata Majumdar, Snigdhansu Chatterjee:
  Feature Selection using e-values. CoRR abs/2206.05391 (2022)
• 
  Cheryl J. Flynn, Aritra Guha, Subhabrata Majumdar, Divesh Srivastava, Zhengyi Zhou:
  Towards Algorithmic Fairness in Space-Time: Filling in Black Holes. CoRR abs/2211.04568 (2022)
• 
  Harsh Raj, Domenic Rosati, Subhabrata Majumdar:
  Measuring Reliability of Large Language Models through Semantic Consistency. CoRR abs/2211.05853 (2022)
• 
  Subhabrata Majumdar, Ganesh Subramaniam:
  Network Security Modelling with Distributional Data. CoRR abs/2211.13419 (2022)
• 2021
• 
  Subhabrata Majumdar, Cheryl J. Flynn, Ritwik Mitra:
  Detecting Bias in the Presence of Spatial Autocorrelation. AFCR 2021: 6-18
• 
  Christina Last, Prithviraj Pramanik, Nikita Saini, Akash Smaran Majety, Do-Hyung Kim, Manuel García-Herranz, Subhabrata Majumdar:
  Towards an Open Global Air Quality Monitoring Platform to Assess Children's Exposure to Air Pollutants in the Light of COVID-19 Lockdowns. CHI Extended Abstracts 2021: 434:1-434:7
• 
  Cheryl J. Flynn, Subhabrata Majumdar, Ritwik Mitra:
  Evaluating Fairness in the Presence of Spatial Autocorrelation. CoRR abs/2101.01703 (2021)
• 
  Christina Last, Prithviraj Pramanik, Nikita Saini, Akash Smaran Majety, Do-Hyung Kim, Manuel García-Herranz, Subhabrata Majumdar:
  Towards an Open Global Air Quality Monitoring Platform to Assess Children's Exposure to Air Pollutants in the Light of COVID-19 Lockdowns. CoRR abs/2103.12505 (2021)
• 
  Noemi Derzsy, Subhabrata Majumdar, Rajat Malik:
  An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research. CoRR abs/2105.06591 (2021)
• 
  Subhabrata Majumdar, Snigdhansu Chatterjee:
  Generalized Multivariate Signs for Nonparametric Hypothesis Testing in High Dimensions. CoRR abs/2107.01103 (2021)
• 
  Subhabrata Majumdar, Deirdre Paul, Eric Zavesky:
  Scaling New Peaks: A Viewership-centric Approach to Automated Content Curation. CoRR abs/2108.04187 (2021)
• 2020
• 
  Victor A. E. de Farias, Felipe T. Brito, Cheryl J. Flynn, Javam C. Machado, Subhabrata Majumdar, Divesh Srivastava:
  Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity. Proc. VLDB Endow. 14(4): 521-533 (2020)
• 
  Abhik Ghosh, Subhabrata Majumdar:
  Ultrahigh-Dimensional Robust and Efficient Sparse Regression Using Non-Concave Penalized Density Power Divergence. IEEE Trans. Inf. Theory 66(12): 7812-7827 (2020)
• 
  Emily Dodwell, Cheryl J. Flynn, Balachander Krishnamurthy, Subhabrata Majumdar, Ritwik Mitra:
  System to Integrate Fairness Transparently: An Industry Approach. CoRR abs/2006.06082 (2020)
• 
  Victor A. E. de Farias, Felipe T. Brito, Cheryl J. Flynn, Javam C. Machado, Subhabrata Majumdar, Divesh Srivastava:
  Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity. CoRR abs/2012.04117 (2020)
• 2015
• 
  Ujjal Kumar Mukherjee, Subhabrata Majumdar, Snigdhansu Chatterjee:
  Fast and Robust Supervised Learning in High Dimensions Using the Geometry of the Data. ICDM 2015: 109-123
• 
  Eric Potash, Joe Brew, Alexander Loewi, Subhabrata Majumdar, Andrew Reece, Joe Walsh, Eric Rozier, Emile Jorgenson, Raed Mansour, Rayid Ghani:
  Predictive Modeling for Public Health: Preventing Childhood Lead Poisoning. KDD 2015: 2039-2047