| 2024 | IECON | Fortifying SplitFed Learning: Strengthening Resilience Against Malicious Clients. | Ashwin Kumaar, Raj Mani Shukla, Amar Nath Patra |
| 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 |
| 2023 | TrustCom | Histopathological Image Classification and Vulnerability Analysis using Federated Learning. | Sankalp Vyas, Amar Nath Patra, Raj Mani Shukla |
| 2021 | GLOBECOM | Friend or Foe: Discerning Benign vs Malicious Software and Malware Family. | Aaron Walker, Tapadhir Das, Raj Mani Shukla, Shamik Sengupta |
| 2021 | NCA | The Devil is in the Details: Confident & Explainable Anomaly Detector for Software-Defined Networks. | Tapadhir Das, Raj Mani Shukla, Shamik Sengupta |
| 2019 | ICMLA | Anomaly Detection using Supervised Learning and Multiple Statistical Methods. | Watson Jia, Raj Mani Shukla, Shamik Sengupta |
| 2018 | ICDCN | Software-defined network and cloud-edge collaboration for smart and connected vehicles. | Raj Mani Shukla, Shamik Sengupta, Mainak Chatterjee |
| 2017 | NCA | A novel software-defined network based approach for charging station allocation to plugged-in electric vehicles. | Raj Mani Shukla, Shamik Sengupta |