Chandra Thapa

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 44

Top Topics

Privacy Preserving

Data Generation

Top Venues

IEEE Trans. Inf. Theory

IEEE Internet Things J.

Publications

Saud Khan, Chandra Thapa, Salman Durrani, Seyit Camtepe
Access-Based Lightweight Physical-Layer Authentication for the Internet of Things Devices. IEEE Internet Things J. 11 (7) (2024)
Wei Shao, Rongyi Zhu, Cai Yang, Chandra Thapa, Muhammad Ejaz Ahmed, Seyit Camtepe, Rui Zhang, Du Yong Kim, Hamid Menouar, Flora D. Salim
ST-DPGAN: A Privacy-preserving Framework for Spatiotemporal Data Generation. CoRR (2024)
Falih Gozi Febrinanto, Feng Xia, Kristen Moore, Chandra Thapa, Charu Aggarwal
Graph Lifelong Learning: A Survey. IEEE Comput. Intell. Mag. 18 (1) (2023)
Anahita Namvar, Chandra Thapa, Salil S. Kanhere
Discretization-based ensemble model for robust learning in IoT. CoRR (2023)
Sara Jafarbeiki, Amin Sakzad, Ron Steinfeld, Shabnam Kasra Kermanshahi, Chandra Thapa, Yuki Kume
ACE: A Consent-Embedded privacy-preserving search on genomic database. CoRR (2023)
Praveen Joshi, Chandra Thapa, Mohammed Hasanuzzaman, Ted Scully, Haithem Afli
Federated Split Learning with Only Positive Labels for resource-constrained IoT environment. CoRR (2023)
Praveen Joshi, Mohammed Hasanuzzaman, Chandra Thapa, Haithem Afli, Ted Scully
Enabling All In-Edge Deep Learning: A Literature Review. IEEE Access 11 (2023)
Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Mujie Liu, Vidya Saikrishna, Jiangang Ma, Feng Xia
Entropy Causal Graphs for Multivariate Time Series Anomaly Detection. CoRR (2023)
Yanqiu Wu, Eromanga Adermann, Chandra Thapa, Seyit Camtepe, Hajime Suzuki, Muhammad Usman
Radio Signal Classification by Adversarially Robust Quantum Machine Learning. CoRR (2023)
Saud Khan, Chandra Thapa, Salman Durrani, Seyit Camtepe
Access-based Lightweight Physical Layer Authentication for the Internet of Things Devices. CoRR (2023)
Saud Khan, Chandra Thapa, Salman Durrani, Seyit Camtepe
Beyond Key-Based Authentication: A Novel Continuous Authentication Paradigm for IoTs. GLOBECOM (Workshops) (2023)
Tina Moghaddam, Guowei Yang, Chandra Thapa, Seyit Camtepe, Dan Dongseong Kim
POSTER: Toward Intelligent Cyber Attacks for Moving Target Defense Techniques in Software-Defined Networking. AsiaCCS (2023)
Qun Li, Chandra Thapa, Lawrence Ong, Yifeng Zheng, Hua Ma, Seyit Ahmet Çamtepe, Anmin Fu, Yansong Gao
Vertical Federated Learning: Taxonomies, Threats, and Prospects. CoRR (2023)
Chandra Thapa, Jun Wen Tang, Alsharif Abuadbba, Yansong Gao, Seyit Camtepe, Surya Nepal, Mahathir Almashor, Yifeng Zheng
Evaluation of Federated Learning in Phishing Email Detection. Sensors 23 (9) (2023)
Chandra Thapa, Seung Ick Jang, Muhammad Ejaz Ahmed, Seyit Camtepe, Josef Pieprzyk, Surya Nepal
Transformer-Based Language Models for Software Vulnerability Detection. ACSAC (2022)
Mohammad Reza Nosouhi, Keshav Sood, Neeraj Kumar, Tricia Wevill, Chandra Thapa
Bushfire Risk Detection Using Internet of Things: An Application Scenario. IEEE Internet Things J. 9 (7) (2022)
Falih Gozi Febrinanto, Feng Xia, Kristen Moore, Chandra Thapa, Charu Aggarwal
Graph Lifelong Learning: A Survey. CoRR (2022)
Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Camtepe, Lichao Sun
SplitFed: When Federated Learning Meets Split Learning. AAAI (2022)
Chandra Thapa, Seyit Camtepe, Raj Gaire, Surya Nepal, Seung Ick Jang
Demo - MaLFraDA: A Machine Learning Framework with Data Airlock. CCS (2022)
Praveen Joshi, Haithem Afli, Mohammed Hasanuzzaman, Chandra Thapa, Ted Scully
Enabling Deep Learning for All-in EDGE paradigm. CoRR (2022)
Yansong Gao, Minki Kim, Chandra Thapa, Alsharif Abuadbba, Zhi Zhang, Seyit Camtepe, Hyoungshick Kim, Surya Nepal
Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things. IEEE Trans. Computers 71 (10) (2022)
Chandra Thapa, Seung Ick Jang, Muhammad Ejaz Ahmed, Seyit Camtepe, Josef Pieprzyk, Surya Nepal
Transformer-Based Language Models for Software Vulnerability Detection: Performance, Model's Security and Platforms. CoRR (2022)
Chandra Thapa, Kallol Krishna Karmakar, Alberto Huertas Celdrán, Seyit Camtepe, Vijay Varadharajan, Surya Nepal
FedDICE: A Ransomware Spread Detection in a Distributed Integrated Clinical Environment Using Federated Learning and SDN Based Mitigation. QSHINE (2021)
Chandra Thapa, Seyit Camtepe
Precision health data: Requirements, challenges and existing techniques for data security and privacy. Comput. Biol. Medicine 129 (2021)
Yansong Gao, Minki Kim, Chandra Thapa, Sharif Abuadbba, Zhi Zhang, Seyit Ahmet Çamtepe, Hyoungshick Kim, Surya Nepal
Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things. CoRR (2021)
Chandra Thapa, Kallol Krishna Karmakar, Alberto Huertas Celdrán, Seyit Camtepe, Vijay Varadharajan, Surya Nepal
FedDICE: A ransomware spread detection in a distributed integrated clinical environment using federated learning and SDN based mitigation. CoRR (2021)
Anahita Namvar, Chandra Thapa, Salil S. Kanhere, Seyit Camtepe
Evaluating the Security of Machine Learning Based IoT Device Identification Systems Against Adversarial Examples. ICSOC (2021)
Praveen Joshi, Chandra Thapa, Seyit Camtepe, Mohammed Hasanuzzaman, Ted Scully, Haithem Afli
Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance. CoRR (2021)
Sharif Abuadbba, Kyuyeon Kim, Minki Kim, Chandra Thapa, Seyit Ahmet Çamtepe, Yansong Gao, Hyoungshick Kim, Surya Nepal
Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training? AsiaCCS (2020)
Yansong Gao, Minki Kim, Sharif Abuadbba, Yeonjae Kim, Chandra Thapa, Kyuyeon Kim, Seyit Ahmet Çamtepe, Hyoungshick Kim, Surya Nepal
End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things. SRDS (2020)
Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Camtepe
SplitFed: When Federated Learning Meets Split Learning. CoRR (2020)
Yansong Gao, Minki Kim, Sharif Abuadbba, Yeonjae Kim, Chandra Thapa, Kyuyeon Kim, Seyit Ahmet Çamtepe, Hyoungshick Kim, Surya Nepal
End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things. CoRR (2020)
Sharif Abuadbba, Kyuyeon Kim, Minki Kim, Chandra Thapa, Seyit Ahmet Çamtepe, Yansong Gao, Hyoungshick Kim, Surya Nepal
Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training? CoRR (2020)
Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Ahmet Çamtepe
Advancements of federated learning towards privacy preservation: from federated learning to split learning. CoRR (2020)
Chandra Thapa, Jun Wen Tang, Sharif Abuadbba, Yansong Gao, Yifeng Zheng, Seyit Ahmet Çamtepe, Surya Nepal, Mahathir Almashor
FedEmail: Performance Measurement of Privacy-friendly Phishing Detection Enabled by Federated Learning. CoRR (2020)
Kallol Krishna Karmakar, Vijay Varadharajan, Uday Kiran Tupakula, Surya Nepal, Chandra Thapa
Towards a Security Enhanced Virtualised Network Infrastructure for Internet of Medical Things (IoMT). NetSoft (2020)
Chandra Thapa, Seyit Camtepe
Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy. CoRR (2020)
Chandra Thapa, Lawrence Ong, Sarah J. Johnson, Min Li
Structural Characteristics of Two-Sender Index Coding. Entropy 21 (6) (2019)
Chandra Thapa, Lawrence Ong, Sarah J. Johnson
Corrections to "Interlinked Cycles for Index Coding: Generalizing Cycles and Cliques". IEEE Trans. Inf. Theory 64 (9) (2018)
Chandra Thapa, Lawrence Ong, Sarah J. Johnson
Interlinked Cycles for Index Coding: Generalizing Cycles and Cliques. IEEE Trans. Inf. Theory 63 (6) (2017)
Chandra Thapa, Lawrence Ong, Sarah J. Johnson, Min Li
Structural Characteristics of Two-Sender Index Coding. CoRR (2017)
Chandra Thapa, Lawrence Ong, Sarah J. Johnson
Graph-Theoretic Approaches to Two-Sender Index Coding. CoRR (2016)
Chandra Thapa, Lawrence Ong, Sarah J. Johnson
Interlinked Cycles for Index Coding: Generalizing Cycles and Cliques. CoRR (2016)
Chandra Thapa, Lawrence Ong, Sarah J. Johnson
Graph-Theoretic Approaches to Two-Sender Index Coding. GLOBECOM Workshops (2016)
Chandra Thapa, Lawrence Ong, Sarah J. Johnson
Generalized interlinked cycle cover for index coding. ITW Fall (2015)
Chandra Thapa, Lawrence Ong, Sarah J. Johnson
A new index coding scheme exploiting interlinked cycles. ISIT (2015)
Chandra Thapa, Lawrence Ong, Sarah J. Johnson
Generalized Interlinked Cycle Cover for Index Coding. CoRR (2015)
Chandra Thapa, Lawrence Ong, Sarah J. Johnson
A New Index Coding Scheme Exploiting Interlinked Cycles. CoRR (2015)
Chandra Thapa, C. Chandrasekhar
Analysis of Fractional Frequency Reuse (FFR) over Classical Reuse Scheme in 4G (LTE) Cellular Network. ACITY (1) (2012)