| 2022 | DSN | Long-Term Study of Honeypots in a Public Cloud. | Rakshit Agrawal, Jack W. Stokes, Lukas Rist, Ryan Littlefield, Xun Fan, Ken Hollis, Zane Coppedge, Noah Chesterman, Christian Seifert |
| 2020 | ICASSP | Detection of Malicious Vbscript Using Static and Dynamic Analysis with Recurrent Deep Learning. | Jack W. Stokes, Rakshit Agrawal, Geoff McDonald |
| 2020 | KDD | Textual Evidence for the Perfunctoriness of Independent Medical Reviews. | Adrian Brasoveanu, Megan Moodie, Rakshit Agrawal |
| 2019 | ICASSP | Attention in Recurrent Neural Networks for Ransomware Detection. | Rakshit Agrawal, Jack W. Stokes, Karthik Selvaraj, Mady Marinescu |
| 2019 | WWW | Learning Edge Properties in Graphs from Path Aggregations. | Rakshit Agrawal, Luca de Alfaro |
| 2018 | AAAI | Learning User Intent from Action Sequences on Interactive Systems. | Rakshit Agrawal, Anwar Habeeb, Chih-Hsin Hsueh |
| 2018 | ICASSP | Neural Sequential Malware Detection with Parameters. | Rakshit Agrawal, Jack W. Stokes, Mady Marinescu, Karthik Selvaraj |
| 2017 | AAAI | Learning from Graph Neighborhoods Using LSTMs. | Rakshit Agrawal, Luca de Alfaro, Vassilis Polychronopoulos |
| 2012 | SENSYS | Sensor network architecture for soil and weather data extraction and database generation. | Rakshit Agrawal, Mridu Atray, S. Krishna Sundari |