| 2025 | IRI | Hierarchical ML for Adversarial Resiliency in Autonomous Vehicular Traffic Sign Recognition. | Khanh Linh Nguyen, Abishek Vijjeswarapu, Tapadhir Das, Houman Habibkhani |
| 2024 | IECON | Evaluation of Ensemble Learning for Mitigating Adversarial Attacks in Industrial Object Detection. | Shashank Pulijala, Sara Shahin, Tapadhir Das, Raj Mani Shukla |
| 2024 | IECON | Decentralized Privacy-Preserving Federated Learning for Ultrasonic Nerve Image Segmentation. | Gowtham Vinjamuri, Suvendu Chandan Nayak, Rekha Sahu, Raj Mani Shukla, Tapadhir Das |
| 2023 | TrustCom | Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection. | Lochana Telugu Rajesh, Tapadhir Das, Raj Mani Shukla, Shamik Sengupta |
| 2021 | GLOBECOM | Friend or Foe: Discerning Benign vs Malicious Software and Malware Family. | Aaron Walker, Tapadhir Das, Raj Mani Shukla, Shamik Sengupta |
| 2021 | NCA | Sharing is Caring: Optimized Threat Visualization for a Cybersecurity Data Sharing Platform. | Adam Cassell, Tapadhir Das, Zachary Black, Farhan Sadique, James Schnebly, Sergiu Dascalu, Shamik Sengupta, Jeff Springer |
| 2021 | NCA | The Devil is in the Details: Confident & Explainable Anomaly Detector for Software-Defined Networks. | Tapadhir Das, Raj Mani Shukla, Shamik Sengupta |