| 2013 | ALT | Differentially-Private Learning of Low Dimensional Manifolds. | Anna Choromanska, Krzysztof Choromanski, Geetha Jagannathan, Claire Monteleoni |
| 2013 | ICDM | A Semi-Supervised Learning Approach to Differential Privacy. | Geetha Jagannathan, Claire Monteleoni, Krishnan Pillaipakkamnatt |
| 2009 | ICDM | A Practical Differentially Private Random Decision Tree Classifier. | Geetha Jagannathan, Krishnan Pillaipakkamnatt, Rebecca N. Wright |
| 2007 | ICDM | A Secure Clustering Algorithm for Distributed Data Streams. | Geetha Jagannathan, Krishnan Pillaipakkamnatt, Daryl Umano |
| 2007 | ICDM | Private Inference Control for Aggregate Database Queries. | Geetha Jagannathan, Rebecca N. Wright |
| 2006 | ICDM | Privacy-Preserving Data Imputation. | Geetha Jagannathan, Rebecca N. Wright |
| 2006 | SDM | A New Privacy-Preserving Distributed k-Clustering Algorithm. | Geetha Jagannathan, Krishnan Pillaipakkamnatt, Rebecca N. Wright |
| 2005 | KDD | Privacy-preserving distributed k-means clustering over arbitrarily partitioned data. | Geetha Jagannathan, Rebecca N. Wright |
| 2004 | ALENEX | The Robustness of the Sum-of-Squares Algorithm for Bin Packing. | Michael A. Bender, Bryan Bradley, Geetha Jagannathan, Krishnan Pillaipakkamnatt |