| 2026 | PAKDD | TabCL: Continual Malware Classification with Tabular-Aware Generation. | Jimin Park, Haeseung Jeon, AHyun Ji, Aritran Piplai, Mohammad Saidur Rahman, Se Eun Oh |
| 2025 | ACSAC | AgentCyTE: Leveraging Agentic AI to Generate Cybersecurity Training & Experimentation Scenarios. | Ana M. Rodriguez, Jaime Acosta, Anantaa Kotal, Aritran Piplai |
| 2025 | IJCNN | Semantic-Aware Contrastive Fine-Tuning: Boosting Multimodal Malware Classification with Discriminative Embeddings. | Ivan Montoya Sanchez, Shaswata Mitra, Aritran Piplai, Sudip Mittal |
| 2025 | RAID | ADAPT: A Pseudo-labeling Approach to Combat Concept Drift in Malware Detection. | Md Tanvirul Alam, Aritran Piplai, Nidhi Rastogi |
| 2025 | TrustCom | MAD-OOD: A Deep Learning Cluster-Driven Framework for an Out-of-Distribution Malware Detection and Classification. | Tosin Ige, Christopher Kiekintveld, Aritran Piplai, Asif Rahman, Olukunle Kolade, Sasidhar Kunapuli |
| 2025 | SECRYPT | Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security. | Emilia Rivas, Sabrina Saika, Ahtesham Bakht, Aritran Piplai, Nathaniel D. Bastian, Ankit Shah |
| 2024 | ISNCC | Towards an in-Depth Evaluation of the Performance, Suitability and Plausibility of Few-Shot Meta Transfer Learning on An Unknown Out-of-Distribution Cyber-attack Detection. | Tosin Ige, Christopher Kiekintveld, Aritran Piplai, Amy Wagler, Olukunle Kolade, Bolanle Hafiz Matti |
| 2024 | ISNCC | An in-Depth Investigation Into the Performance of State-of-the-Art Zero-Shot, Single-Shot, and Few-Shot Learning Approaches on an Out-of-Distribution Zero-Day Malware Attack Detection. | Tosin Ige, Christopher Kiekintveld, Aritran Piplai, Amy Wagler, Olukunle Kolade, Bolanle Hafiz Matti |
| 2024 | SIGITE | Enhancing classroom teaching with LLMs and RAG. | Elizabeth Mullins, Adrian Portillo, Kristalys Ruiz-Rohena, Aritran Piplai |
| 2022 | ICMLA | Knowledge Guided Two-player Reinforcement Learning for Cyber Attacks and Defenses. | Aritran Piplai, Mike Anoruo, Kayode Fasaye, Anupam Joshi, Tim Finin, Ahmad Ridley |
| 2021 | IJCNN | Generating Fake Cyber Threat Intelligence Using Transformer-Based Models. | Priyanka Ranade, Aritran Piplai, Sudip Mittal, Anupam Joshi, Tim Finin |
| 2020 | ISI | Knowledge Enrichment by Fusing Representations for Malware Threat Intelligence and Behavior. | Aritran Piplai, Sudip Mittal, Mahmoud Abdelsalam, Maanak Gupta, Anupam Joshi, Tim Finin |