Learning from a Consistently Ignorant Teacher. - Michael Frazier; Sally A. Goldman; Nina Mishra; Leonard Pitt (J. Comput. Syst. Sci., 1996)

Version Spaces without Boundary Sets. - Haym Hirsh; Nina Mishra; Leonard Pitt (AAAI/IAAI, 1997)

Generating all Maximal Independent Sets of Bounded-Degree Hypergraphs. - Nina Mishra; Leonard Pitt (COLT, 1997)

Learning From a Monotonous, Ignorant Teacher - Nina Mishra (1997)

Efficient Read-Restricted Monotone CNF/DNF Dualization by Learning with Membership Queries. - Carlos Domingo; Nina Mishra; Leonard Pitt (Mach. Learn., 1999)

Clustering Data Streams. - Sudipto Guha; Nina Mishra; Rajeev Motwani 001; Liadan O'Callaghan (FOCS, 2000)

Sublinear time approximate clustering. - Nina Mishra; Daniel Oblinger; Leonard Pitt (SODA, 2001)

Streaming-Data Algorithms for High-Quality Clustering. - Liadan O'Callaghan; Adam Meyerson; Rajeev Motwani 001; Nina Mishra; Sudipto Guha (ICDE, 2002)

On Finding Large Conjunctive Clusters. - Nina Mishra; Dana Ron; Ram Swaminathan (COLT, 2003)

Clustering Data Streams: Theory and Practice. - Sudipto Guha; Adam Meyerson; Nina Mishra; Rajeev Motwani 001; Liadan O'Callaghan (IEEE Trans. Knowl. Data Eng., 2003)

Secure Computation of the k th-Ranked Element. - Gagan Aggarwal; Nina Mishra; Benny Pinkas (EUROCRYPT, 2004)

On Identifying Stable Ways to Configure Systems. - Gagan Aggarwal; Mayur Datar; Nina Mishra; Rajeev Motwani 001 (ICAC, 2004)

Vision Paper: Enabling Privacy for the Paranoids. - Gagan Aggarwal; Mayank Bawa; Prasanna Ganesan; Hector Garcia-Molina; Krishnaram Kenthapadi; Nina Mishra; Rajeev Motwani 001; Utkarsh Srivastava; Dilys Thomas; Jennifer Widom; Ying Xu 002 (VLDB, 2004)

Version spaces and the consistency problem. - Haym Hirsh; Nina Mishra; Leonard Pitt (Artif. Intell., 2004)

Introduction: Special Issue on Theoretical Advances in Data Clustering. - Nina Mishra; Rajeev Motwani 001 (Mach. Learn., 2004)

A New Conceptual Clustering Framework. - Nina Mishra; Dana Ron; Ram Swaminathan (Mach. Learn., 2004)

Simulatable auditing. - Krishnaram Kenthapadi; Nina Mishra; Kobbi Nissim (PODS, 2005)

When Random Sampling Preserves Privacy. - Kamalika Chaudhuri; Nina Mishra (CRYPTO, 2006)

Privacy via pseudorandom sketches. - Nina Mishra; Mark Sandler 002 (PODS, 2006)

Towards Robustness in Query Auditing. - Shubha U. Nabar; Bhaskara Marthi; Krishnaram Kenthapadi; Nina Mishra; Rajeev Motwani 001 (VLDB, 2006)

Clustering Social Networks. - Nina Mishra; Robert Schreiber; Isabelle Stanton; Robert Endre Tarjan (WAW, 2007)

Finding Strongly Knit Clusters in Social Networks. - Nina Mishra; Robert Schreiber; Isabelle Stanton; Robert Endre Tarjan (Internet Math., 2008)

Privately Finding Specifications. - Westley Weimer; Nina Mishra (IEEE Trans. Software Eng., 2008)

A Survey of Query Auditing Techniques for Data Privacy. - Shubha U. Nabar; Krishnaram Kenthapadi; Nina Mishra; Rajeev Motwani 001 (Privacy-Preserving Data Mining, 2008)

Adapting to the Shifting Intent of Search Queries. - Umar Syed; Aleksandrs Slivkins; Nina Mishra (NIPS, 2009)

Generating labels from clicks. - Rakesh Agrawal 001; Alan Halverson; Krishnaram Kenthapadi; Nina Mishra; Panayiotis Tsaparas (WSDM, 2009)

Releasing search queries and clicks privately. - Aleksandra Korolova; Krishnaram Kenthapadi; Nina Mishra; Alexandros Ntoulas (WWW, 2009)

Secure Computation of the Median (and Other Elements of Specified Ranks). - Gagan Aggarwal; Nina Mishra; Benny Pinkas (J. Cryptol., 2010)

Releasing Private Contingency Tables. - Shubha U. Nabar; Nina Mishra (J. Priv. Confidentiality, 2010)

Shopping for products you don't know you need. - Srikanth Jagabathula; Nina Mishra; Sreenivas Gollapudi (WSDM, 2011)

Predicting Consumer Behavior in Commerce Search. - Or Sheffet; Nina Mishra; Samuel Ieong (ICML, 2012)

Domain bias in web search. - Samuel Ieong; Nina Mishra; Eldar Sadikov; Li Zhang 001 (WSDM, 2012)

Estimating the relative utility of networks for predicting user activities. - Nina Mishra; Daniel M. Romero; Panayiotis Tsaparas (CIKM, 2013)

Group chats on Twitter. - James Cook; Krishnaram Kenthapadi; Nina Mishra (WWW, 2013)

Denials leak information: Simulatable auditing. - Krishnaram Kenthapadi; Nina Mishra; Kobbi Nissim (J. Comput. Syst. Sci., 2013)

Privacy via the Johnson-Lindenstrauss Transform. - Krishnaram Kenthapadi; Aleksandra Korolova; Ilya Mironov; Nina Mishra (J. Priv. Confidentiality, 2013)

Ranking Twitter discussion groups. - James Cook; Abhimanyu Das; Krishnaram Kenthapadi; Nina Mishra (COSN, 2014)

Time-critical search. - Nina Mishra; Ryen W. White; Samuel Ieong; Eric Horvitz (SIGIR, 2014)

Circumlocution in diagnostic medical queries. - Isabelle Stanton; Samuel Ieong; Nina Mishra (SIGIR, 2014)

Clustering Data Streams. - Sudipto Guha; Nina Mishra (Data Stream Management, 2016)

Robust Random Cut Forest Based Anomaly Detection on Streams. - Sudipto Guha; Nina Mishra; Gourav Roy; Okke Schrijvers (ICML, 2016)

Equality and Social Mobility in Twitter Discussion Groups. - Katherine Ellis; Moisés Goldszmidt; Gert R. G. Lanckriet; Nina Mishra; Omer Reingold (WSDM, 2016)

Semi-Supervised Learning on Data Streams via Temporal Label Propagation. - Tal Wagner; Sudipto Guha; Shiva Prasad Kasiviswanathan; Nina Mishra (ICML, 2018)

SpotLight: Detecting Anomalies in Streaming Graphs. - Dhivya Eswaran; Christos Faloutsos; Sudipto Guha; Nina Mishra (KDD, 2018)

Intervention-Aware Early Warning. - Dhivya Eswaran; Christos Faloutsos; Nina Mishra; Yonatan Naamad (ICDM, 2019)

Explaining a machine learning decision to physicians via counterfactuals. - Supriya Nagesh; Nina Mishra; Yonatan Naamad; James M. Rehg; Mehul A. Shah; Alexei Wagner (CHIL, 2023)

Fast Private Kernel Density Estimation via Locality Sensitive Quantization. - Tal Wagner; Yonatan Naamad; Nina Mishra (ICML, 2023)

Creating a Public Repository for Joining Private Data. - James Cook; Milind Shyani; Nina Mishra (NeurIPS, 2023)

DOSSIER: Fact Checking in Electronic Health Records while Preserving Patient Privacy. - Haoran Zhang; Supriya Nagesh; Milind Shyani; Nina Mishra (MLHC, 2024)

Generating colloquial radiology reports with large language models. - Cynthia Crystal Tang; Supriya Nagesh; David Fussell; Justin Glavis-Bloom; Nina Mishra; Charles Li; Gillean Cortes; Robert Hill; Jasmine Zhao; Angellica Gordon; Joshua Wright; Hayden Troutt; et al. (J. Am. Medical Informatics Assoc., 2024)

Private Text Generation by Seeding Large Language Model Prompts. - Supriya Nagesh; Justin Y. Chen; Nina Mishra; Tal Wagner (CoRR, 2025)