| Deepfuzz: Automatic generation of syntax valid c programs for fuzz testing X Liu, X Li, R Prajapati, D Wu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1044-1051, 2019 | 123 | 2019 |
| Detecting and interpreting changes in scanning behavior in large network telescopes M Kallitsis, R Prajapati, V Honavar, D Wu, J Yen IEEE Transactions on Information Forensics and Security 17, 3611-3625, 2022 | 17 | 2022 |
| ALPHAPROG: reinforcement generation of valid programs for compiler fuzzing X Li, X Liu, L Chen, R Prajapati, D Wu Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12559 …, 2022 | 11 | 2022 |
| FuzzBoost: Reinforcement Compiler Fuzzing X Li, X Liu, L Chen, R Prajapati, D Wu International Conference on Information and Communications Security, 359-375, 2022 | 10 | 2022 |
| Shedding light into the darknet: Scanning characterization and detection of temporal changes R Prajapati, V Honavar, D Wu, J Yen, M Kallitsis Proceedings of the 17th International Conference on Emerging Networking …, 2021 | 4 | 2021 |
| Zooming into the darknet: Characterizing Internet background radiation and its structural changes M Kallitsis, V Honavar, R Prajapati, D Wu, J Yen arXiv preprint arXiv:2108.00079, 2021 | 4 | 2021 |
| Reinforcement compiler fuzzing X Liu, R Prajapati, X Li, D Wu | 3 | 2019 |
| Leveraging Large Darknets for Actionable Threat Intelligence: An Artificial Intelligence-Driven Approach R Prajapati | | 2025 |
| Poster: Shedding light into the darknet: scanning characterization and detection of temporal changes R Prajapati, V Honavar, D Wu, J Yen, M Kallitsis CoNEXT'21: Proceedings of the 17th International Conference on emerging …, 2021 | | 2021 |
