| 2025 | Interspeech | Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake Detection. | Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Jiangang Ma, Vidya Saikrishna, Feng Xia |
| 2024 | DSN | MTD in Plain Sight: Hiding Network Behavior in Moving Target Defenses. | Tina Moghaddam, Guowei Yang, Chandra Thapa, Seyit Camtepe, Dan Dongseong Kim |
| 2024 | ECAI | One-Shot Collaborative Data Distillation. | William Holland, Chandra Thapa, Wei Shao, Seyit Camtepe, Sarah Ali Siddiqui |
| 2023 | AsiaCCS | POSTER: Toward Intelligent Cyber Attacks for Moving Target Defense Techniques in Software-Defined Networking. | Tina Moghaddam, Guowei Yang, Chandra Thapa, Seyit Camtepe, Dan Dongseong Kim |
| 2023 | GLOBECOM | Beyond Key-Based Authentication: A Novel Continuous Authentication Paradigm for IoTs. | Saud Khan, Chandra Thapa, Salman Durrani, Seyit Camtepe |
| 2023 | Mobiquitous | Discretization-Based Ensemble Model for Robust Learning in IoT. | Anahita Namvar, Chandra Thapa, Salil S. Kanhere |
| 2022 | AAAI | SplitFed: When Federated Learning Meets Split Learning. | Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Camtepe, Lichao Sun |
| 2022 | ACSAC | Transformer-Based Language Models for Software Vulnerability Detection. | Chandra Thapa, Seung Ick Jang, Muhammad Ejaz Ahmed, Seyit Camtepe, Josef Pieprzyk, Surya Nepal |
| 2022 | CCS | Demo - MaLFraDA: A Machine Learning Framework with Data Airlock. | Chandra Thapa, Seyit Camtepe, Raj Gaire, Surya Nepal, Seung Ick Jang |
| 2021 | ICSOC | Evaluating the Security of Machine Learning Based IoT Device Identification Systems Against Adversarial Examples. | Anahita Namvar, Chandra Thapa, Salil S. Kanhere, Seyit Camtepe |
| 2021 | Qshine | FedDICE: A Ransomware Spread Detection in a Distributed Integrated Clinical Environment Using Federated Learning and SDN Based Mitigation. | Chandra Thapa, Kallol Krishna Karmakar, Alberto Huertas Celdrn, Seyit Camtepe, Vijay Varadharajan, Surya Nepal |
| 2020 | CCS | Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training? | Sharif Abuadbba, Kyuyeon Kim, Minki Kim, Chandra Thapa, Seyit Ahmet amtepe, Yansong Gao, Hyoungshick Kim, Surya Nepal |
| 2020 | NetSoft | Towards a Security Enhanced Virtualised Network Infrastructure for Internet of Medical Things (IoMT). | Kallol Krishna Karmakar, Vijay Varadharajan, Uday Kiran Tupakula, Surya Nepal, Chandra Thapa |
| 2020 | SRDS | End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things. | Yansong Gao, Minki Kim, Sharif Abuadbba, Yeonjae Kim, Chandra Thapa, Kyuyeon Kim, Seyit Ahmet amtepe, Hyoungshick Kim, Surya Nepal |
| 2016 | GLOBECOM | Graph-Theoretic Approaches to Two-Sender Index Coding. | Chandra Thapa, Lawrence Ong, Sarah J. Johnson |
| 2015 | ISIT | A new index coding scheme exploiting interlinked cycles. | Chandra Thapa, Lawrence Ong, Sarah J. Johnson |
| 2015 | ITW | Generalized interlinked cycle cover for index coding. | Chandra Thapa, Lawrence Ong, Sarah J. Johnson |