| 2020 | ESORICS | Towards Poisoning the Neural Collaborative Filtering-Based Recommender Systems. | Yihe Zhang, Jiadong Lou, Li Chen, Xu Yuan, Jin Li, Tom Johnsten, Nian-Feng Tzeng |
| 2018 | CEC | A Multi-Objective Evolutionary Action Rule Mining Method. | Grant T. Daly, Ryan Benton, Tom Johnsten |
| 2013 | ICMLA | Targeted Action Rule Discovery. | Tom Johnsten, Samy Alihamad, Ashwin Kannalath, Ryan G. Benton |
| 2011 | ICDM | FAARM: Frequent Association Action Rules Mining Using FP-Tree. | Djellel Eddine Difallah, Ryan G. Benton, Vijay V. Raghavan, Tom Johnsten |
| 2010 | GRC | Efficient Algorithm for Discovering Potential Interesting Patterns with Closed Itemsets. | Raj Singh, Tom Johnsten, Vijay V. Raghavan, Ying Xie |
| 2009 | GRC | An efficient algorithm for discovering positive and negative patterns. | Raj Singh, Tom Johnsten, Vijay V. Raghavan, Ying Xie |
| 2006 | GRC | On discovering "potentially useful" patterns from databases. | Ying Xie, Tom Johnsten, Vijay V. Raghavan, Karthik Ramachandran |
| 2003 | COMPSAC | A Methodology for Hiding Knowledge in XML Document Collections. | Tom Johnsten, Robert B. Sweeney, Vijay V. Raghavan |
| 2002 | DBSEC | On Security and Privacy Risks in Association Mining Algorithms. | Tom Johnsten, Vijay V. Raghavan, Kevin Hill |
| 2001 | DBSEC | Security Procedures for Classification Mining Algorithms. | Tom Johnsten, Vijay V. Raghavan |
| 1999 | DBSEC | Impact of Decision-Region Based Classification Mining Algorithms on Database Security. | Tom Johnsten, Vijay V. Raghavan |