Analysis of Fractional Frequency Reuse (FFR) over Classical Reuse Scheme in 4G (LTE) Cellular Network. - Chandra Thapa; C. Chandrasekhar (ACITY (1), 2012)

A new index coding scheme exploiting interlinked cycles. - Chandra Thapa; Lawrence Ong; Sarah J. Johnson (ISIT, 2015)

Generalized interlinked cycle cover for index coding. - Chandra Thapa; Lawrence Ong; Sarah J. Johnson (ITW Fall, 2015)

Graph-Theoretic Approaches to Two-Sender Index Coding. - Chandra Thapa; Lawrence Ong; Sarah J. Johnson (GLOBECOM Workshops, 2016)

Interlinked Cycles for Index Coding: Generalizing Cycles and Cliques. - Chandra Thapa; Lawrence Ong; Sarah J. Johnson (IEEE Trans. Inf. Theory, 2017)

Corrections to "Interlinked Cycles for Index Coding: Generalizing Cycles and Cliques". - Chandra Thapa; Lawrence Ong; Sarah J. Johnson (IEEE Trans. Inf. Theory, 2018)

Structural Characteristics of Two-Sender Index Coding. - Chandra Thapa; Lawrence Ong; Sarah J. Johnson; Min Li 008 (Entropy, 2019)

Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training? - Sharif Abuadbba; Kyuyeon Kim; Minki Kim; Chandra Thapa; Seyit Ahmet Çamtepe; Yansong Gao 001; Hyoungshick Kim; Surya Nepal (AsiaCCS, 2020)

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 (NetSoft, 2020)

End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things. - Yansong Gao 001; Minki Kim; Sharif Abuadbba; Yeonjae Kim; Chandra Thapa; Kyuyeon Kim; Seyit Ahmet Çamtepe; Hyoungshick Kim; Surya Nepal (SRDS, 2020)

SplitFed: When Federated Learning Meets Split Learning. - Chandra Thapa; Mahawaga Arachchige Pathum Chamikara; Seyit Camtepe (CoRR, 2020)

FedEmail: Performance Measurement of Privacy-friendly Phishing Detection Enabled by Federated Learning. - Chandra Thapa; Jun Wen Tang; Sharif Abuadbba; Yansong Gao 001; Yifeng Zheng; Seyit Ahmet Çamtepe; Surya Nepal; Mahathir Almashor (CoRR, 2020)

Advancements of federated learning towards privacy preservation: from federated learning to split learning. - Chandra Thapa; Mahawaga Arachchige Pathum Chamikara; Seyit Ahmet Çamtepe (CoRR, 2020)

Evaluating the Security of Machine Learning Based IoT Device Identification Systems Against Adversarial Examples. - Anahita Namvar; Chandra Thapa; Salil S. Kanhere; Seyit Camtepe (ICSOC, 2021)

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 Celdrán; Seyit Camtepe; Vijay Varadharajan; Surya Nepal (QSHINE, 2021)

Precision health data: Requirements, challenges and existing techniques for data security and privacy. - Chandra Thapa; Seyit Camtepe (Comput. Biol. Medicine, 2021)

Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance. - Praveen Joshi; Chandra Thapa; Seyit Camtepe; Mohammed Hasanuzzaman; Ted Scully; Haithem Afli (CoRR, 2021)

SplitFed: When Federated Learning Meets Split Learning. - Chandra Thapa; Mahawaga Arachchige Pathum Chamikara; Seyit Camtepe; Lichao Sun 001 (AAAI, 2022)

Transformer-Based Language Models for Software Vulnerability Detection. - Chandra Thapa; Seung Ick Jang; Muhammad Ejaz Ahmed; Seyit Camtepe; Josef Pieprzyk; Surya Nepal (ACSAC, 2022)

Demo - MaLFraDA: A Machine Learning Framework with Data Airlock. - Chandra Thapa; Seyit Camtepe; Raj Gaire 001; Surya Nepal; Seung Ick Jang (CCS, 2022)

Transformer-Based Language Models for Software Vulnerability Detection: Performance, Model's Security and Platforms. - Chandra Thapa; Seung Ick Jang; Muhammad Ejaz Ahmed; Seyit Camtepe; Josef Pieprzyk; Surya Nepal (CoRR, 2022)

Enabling Deep Learning for All-in EDGE paradigm. - Praveen Joshi; Haithem Afli; Mohammed Hasanuzzaman; Chandra Thapa; Ted Scully (CoRR, 2022)

Bushfire Risk Detection Using Internet of Things: An Application Scenario. - Mohammad Reza Nosouhi; Keshav Sood; Neeraj Kumar 001; Tricia Wevill; Chandra Thapa (IEEE Internet Things J., 2022)

Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things. - Yansong Gao 001; Minki Kim; Chandra Thapa; Alsharif Abuadbba; Zhi Zhang 001; Seyit Camtepe; Hyoungshick Kim; Surya Nepal (IEEE Trans. Computers, 2022)

POSTER: Toward Intelligent Cyber Attacks for Moving Target Defense Techniques in Software-Defined Networking. - Tina Moghaddam; Guowei Yang 001; Chandra Thapa; Seyit Camtepe; Dan Dongseong Kim (AsiaCCS, 2023)

Beyond Key-Based Authentication: A Novel Continuous Authentication Paradigm for IoTs. - Saud Khan; Chandra Thapa; Salman Durrani; Seyit Camtepe (GLOBECOM (Workshops), 2023)

Discretization-Based Ensemble Model for Robust Learning in IoT. - Anahita Namvar; Chandra Thapa; Salil S. Kanhere (MobiQuitous (2), 2023)

Enabling All In-Edge Deep Learning: A Literature Review. - Praveen Joshi; Mohammed Hasanuzzaman; Chandra Thapa; Haithem Afli; Ted Scully (IEEE Access, 2023)

Vertical Federated Learning: Taxonomies, Threats, and Prospects. - Qun Li 005; Chandra Thapa; Lawrence Ong; Yifeng Zheng; Hua Ma; Seyit Ahmet Çamtepe; Anmin Fu; Yansong Gao 001 (CoRR, 2023)

ACE: A Consent-Embedded privacy-preserving search on genomic database. - Sara Jafarbeiki; Amin Sakzad; Ron Steinfeld; Shabnam Kasra Kermanshahi; Chandra Thapa; Yuki Kume (CoRR, 2023)

Federated Split Learning with Only Positive Labels for resource-constrained IoT environment. - Praveen Joshi; Chandra Thapa; Mohammed Hasanuzzaman; Ted Scully; Haithem Afli (CoRR, 2023)

Radio Signal Classification by Adversarially Robust Quantum Machine Learning. - Yanqiu Wu 002; Eromanga Adermann; Chandra Thapa; Seyit Camtepe; Hajime Suzuki; Muhammad Usman (CoRR, 2023)

Entropy Causal Graphs for Multivariate Time Series Anomaly Detection. - Falih Gozi Febrinanto; Kristen Moore; Chandra Thapa; Mujie Liu; Vidya Saikrishna; Jiangang Ma; Feng Xia 001 (CoRR, 2023)

Evaluation of Federated Learning in Phishing Email Detection. - Chandra Thapa; Jun Wen Tang; Alsharif Abuadbba; Yansong Gao 001; Seyit Camtepe; Surya Nepal; Mahathir Almashor; Yifeng Zheng (Sensors, 2023)

Graph Lifelong Learning: A Survey. - Falih Gozi Febrinanto; Feng Xia 001; Kristen Moore; Chandra Thapa; Charu Aggarwal 001 (IEEE Comput. Intell. Mag., 2023)

MTD in Plain Sight: Hiding Network Behavior in Moving Target Defenses. - Tina Moghaddam; Guowei Yang 001; Chandra Thapa; Seyit Camtepe; Dan Dongseong Kim (DSN-S, 2024)

One-Shot Collaborative Data Distillation. - William Holland; Chandra Thapa; Wei Shao 006; Seyit Camtepe; Sarah Ali Siddiqui (ECAI, 2024)

Elevating Software Trust: Unveiling and Quantifying the Risk Landscape. - Sarah Ali Siddiqui; Chandra Thapa; Rayne Holland; Wei Shao 006; Seyit Camtepe (CoRR, 2024)

MTDSense: AI-Based Fingerprinting of Moving Target Defense Techniques in Software-Defined Networking. - Tina Moghaddam; Guowei Yang 001; Chandra Thapa; Seyit Camtepe; Dan Dongseong Kim (CoRR, 2024)

Attacking Slicing Network via Side-channel Reinforcement Learning Attack. - Wei Shao 006; Chandra Thapa; Rayne Holland; Sarah Ali Siddiqui; Seyit Camtepe (CoRR, 2024)

From 5G to 6G: A Survey on Security, Privacy, and Standardization Pathways. - Mengmeng Yang; Youyang Qu; Thilina Ranbaduge; Chandra Thapa; Nazatul H. Sultan; Ming Ding 001; Hajime Suzuki; Wei Ni 001; Sharif Abuadbba; David B. Smith 001; Paul Tyler; Josef Pieprzyk; et al. (CoRR, 2024)

Computable Model-Independent Bounds for Adversarial Quantum Machine Learning. - Bacui Li; Tansu Alpcan; Chandra Thapa; Udaya Parampalli (CoRR, 2024)

Private Synthetic Data Generation in Small Memory. - Rayne Holland; Seyit Camtepe; Chandra Thapa; Minhui (Jason) Xue (CoRR, 2024)

Access-Based Lightweight Physical-Layer Authentication for the Internet of Things Devices. - Saud Khan; Chandra Thapa; Salman Durrani; Seyit Camtepe (IEEE Internet Things J., 2024)

Modified AKMA for Decentralized Authentication in LEO Satellite-Based IoT Networks. - Saud Khan; Salman Durrani; Chandra Thapa; Seyit Camtepe (IEEE Internet Things J., 2025)

ST-DPGAN: A Privacy-Preserving Framework for Spatiotemporal Data Generation. - Wei Shao 006; Rongyi Zhu; Cai Yang; Chandra Thapa; Muhammad Ejaz Ahmed; Seyit Camtepe; Rui Zhang 003; Du Yong Kim; Hamid Menouar; Flora D. Salim (IEEE Internet Things J., 2025)

Vision Graph Non-Contrastive Learning for Audio Deepfake Detection with Limited Labels. - Falih Gozi Febrinanto; Kristen Moore; Chandra Thapa; Jiangang Ma; Vidya Saikrishna; Feng Xia 001 (CoRR, 2025)

Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake Detection. - Falih Gozi Febrinanto; Kristen Moore; Chandra Thapa; Jiangang Ma; Vidya Saikrishna; Feng Xia 001 (CoRR, 2025)

Private Synthetic Data Generation in Bounded Memory. - Rayne Holland; Seyit Camtepe; Chandra Thapa; Minhui Xue 001 (Proc. ACM Manag. Data, 2025)

A Qubit-Efficient Hybrid Quantum Encoding Mechanism for Quantum Machine Learning. - Hevish Cowlessur; Tansu Alpcan; Chandra Thapa; Seyit Camtepe; Neel Kanth Kundu (CoRR, 2025)

TELSAFE: Security Gap Quantitative Risk Assessment Framework. - Sarah Ali Siddiqui; Chandra Thapa; Derui Wang; Rayne Holland; Wei Shao 006; Seyit Camtepe; Hajime Suzuki; Rajiv Shah (CoRR, 2025)

A hybrid quantum neural network for split learning. - Hevish Cowlessur; Chandra Thapa; Tansu Alpcan; Seyit Camtepe (Quantum Mach. Intell., 2025)