| 2019 | ICAIL | Automatic Classification of Rhetorical Roles for Sentences: Comparing Rule-Based Scripts with Machine Learning. | Vern R. Walker, Krishnan Pillaipakkamnatt, Alexandra M. Davidson, Marysa Linares, Domenick J. Pesce |
| 2018 | AMTA | Using Morphemes from Agglutinative Languages like Quechua and Finnish to Aid in Low-Resource Translation. | John E. Ortega, Krishnan Pillaipakkamnatt |
| 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 |
| 2006 | SDM | A New Privacy-Preserving Distributed k-Clustering Algorithm. | Geetha Jagannathan, Krishnan Pillaipakkamnatt, 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 |
| 1997 | ICAIL | The Effectiveness of Machine Learning Techniques for Predicting Time to Case Disposition. | Dawn Wilkins, Krishnan Pillaipakkamnatt |
| 1995 | STOC | How many queries are needed to learn? | Lisa Hellerstein, Krishnan Pillaipakkamnatt, Vijay Raghavan, Dawn Wilkins |
| 1994 | COLT | On the Limits of Proper Learnability of Subclasses of DNF Formulas. | Krishnan Pillaipakkamnatt, Vijay Raghavan |