Chandra Thapa

According to our database, Chandra Thapa authored at least 44 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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., April, 2024

From 5G to 6G: A Survey on Security, Privacy, and Standardization Pathways.

Mengmeng Yang, Youyang Qu, Thilina Ranbaduge, Chandra Thapa, Nazatul Sultan, Ming Ding, Hajime Suzuki, Wei Ni, Sharif Abuadbba, David B. Smith, Paul Tyler, Josef Pieprzyk, Thierry Rakotoarivelo, Xinlong Guan, Sirine Mrabet

CoRR, 2024

A Hybrid Quantum Neural Network for Split Learning.

Hevish Cowlessur, Chandra Thapa, Tansu Alpcan, Seyit Camtepe

CoRR, 2024

Attacking Slicing Network via Side-channel Reinforcement Learning Attack.

Wei Shao, Chandra Thapa, Rayne Holland, Sarah Ali Siddiqui, Seyit Camtepe

CoRR, 2024

MTDSense: AI-Based Fingerprinting of Moving Target Defense Techniques in Software-Defined Networking.

Tina Moghaddam, Guowei Yang, Chandra Thapa, Seyit Camtepe, Dan Dongseong Kim

CoRR, 2024

Elevating Software Trust: Unveiling and Quantifying the Risk Landscape.

Sarah Ali Siddiqui, Chandra Thapa, Rayne Holland, Wei Shao, Seyit Camtepe

CoRR, 2024

ST-DPGAN: A Privacy-preserving Framework for Spatiotemporal Data Generation.

Wei Shao, Rongyi Zhu, Cai Yang, Chandra Thapa, Muhammad Ejaz Ahmed, Seyit Camtepe, Rui Zhang, Du Yong Kim, Hamid Menouar, Flora D. Salim

CoRR, 2024

One-Shot Collaborative Data Distillation.

William Holland, Chandra Thapa, Wei Shao, Seyit Camtepe, Sarah Ali Siddiqui

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

MTD in Plain Sight: Hiding Network Behavior in Moving Target Defenses.

Tina Moghaddam, Guowei Yang, Chandra Thapa, Seyit Camtepe, Dan Dongseong Kim

Proceedings of the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2024

2023

Graph Lifelong Learning: A Survey.

Falih Gozi Febrinanto, Feng Xia, Kristen Moore, Chandra Thapa, Charu Aggarwal

IEEE Comput. Intell. Mag., February, 2023

Evaluation of Federated Learning in Phishing Email Detection.

Chandra Thapa, Jun Wen Tang, Alsharif Abuadbba, Yansong Gao, Seyit Camtepe, Surya Nepal, Mahathir Almashor, Yifeng Zheng

Sensors, 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

CoRR, 2023

Radio Signal Classification by Adversarially Robust Quantum Machine Learning.

Yanqiu Wu, Eromanga Adermann, Chandra Thapa, Seyit Camtepe, Hajime Suzuki, Muhammad Usman

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

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

Discretization-based ensemble model for robust learning in IoT.

Anahita Namvar, Chandra Thapa, Salil S. Kanhere

CoRR, 2023

Vertical Federated Learning: Taxonomies, Threats, and Prospects.

Qun Li, Chandra Thapa, Lawrence Ong, Yifeng Zheng, Hua Ma, Seyit Ahmet Çamtepe, Anmin Fu, Yansong Gao

CoRR, 2023

Enabling All In-Edge Deep Learning: A Literature Review.

Praveen Joshi, Mohammed Hasanuzzaman, Chandra Thapa, Haithem Afli, Ted Scully

IEEE Access, 2023

Beyond Key-Based Authentication: A Novel Continuous Authentication Paradigm for IoTs.

Saud Khan, Chandra Thapa, Salman Durrani, Seyit Camtepe

Proceedings of the IEEE Globecom Workshops 2023, 2023

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

Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

2022

Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things.

Yansong Gao, Minki Kim, Chandra Thapa, Alsharif Abuadbba, Zhi Zhang, Seyit Camtepe, Hyoungshick Kim, Surya Nepal

IEEE Trans. Computers, 2022

Bushfire Risk Detection Using Internet of Things: An Application Scenario.

Mohammad Reza Nosouhi, Keshav Sood, Neeraj Kumar, Tricia Wevill, Chandra Thapa

IEEE Internet Things J., 2022

Enabling Deep Learning for All-in EDGE paradigm.

Praveen Joshi, Haithem Afli, Mohammed Hasanuzzaman, Chandra Thapa, Ted Scully

CoRR, 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

Demo - MaLFraDA: A Machine Learning Framework with Data Airlock.

Chandra Thapa, Seyit Camtepe, Raj Gaire, Surya Nepal, Seung Ick Jang

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

Transformer-Based Language Models for Software Vulnerability Detection.

Chandra Thapa, Seung Ick Jang, Muhammad Ejaz Ahmed, Seyit Camtepe, Josef Pieprzyk, Surya Nepal

Proceedings of the Annual Computer Security Applications Conference, 2022

SplitFed: When Federated Learning Meets Split Learning.

Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Camtepe, Lichao Sun

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

Precision health data: Requirements, challenges and existing techniques for data security and privacy.

Chandra Thapa, Seyit Camtepe

Comput. Biol. Medicine, 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

Proceedings of the Quality, Reliability, Security and Robustness in Heterogeneous Systems, 2021

Evaluating the Security of Machine Learning Based IoT Device Identification Systems Against Adversarial Examples.

Anahita Namvar, Chandra Thapa, Salil S. Kanhere, Seyit Camtepe

Proceedings of the Service-Oriented Computing - 19th International Conference, 2021

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

FedEmail: Performance Measurement of Privacy-friendly Phishing Detection Enabled by Federated Learning.

Chandra Thapa, Jun Wen Tang, Sharif Abuadbba, Yansong Gao, Yifeng Zheng, Seyit Ahmet Çamtepe, Surya Nepal, Mahathir Almashor

CoRR, 2020

SplitFed: When Federated Learning Meets Split Learning.

Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Camtepe

CoRR, 2020

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 Çamtepe, Hyoungshick Kim, Surya Nepal

Proceedings of the International Symposium on Reliable Distributed Systems, 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

Proceedings of the 6th IEEE Conference on Network Softwarization, 2020

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, Hyoungshick Kim, Surya Nepal

Proceedings of the ASIA CCS '20: The 15th ACM Asia Conference on Computer and Communications Security, 2020

2019

Structural Characteristics of Two-Sender Index Coding.

Chandra Thapa, Lawrence Ong, Sarah J. Johnson, Min Li

Entropy, 2019

2018

Corrections to "Interlinked Cycles for Index Coding: Generalizing Cycles and Cliques".

Chandra Thapa, Lawrence Ong, Sarah J. Johnson

IEEE Trans. Inf. Theory, 2018

2017

Interlinked Cycles for Index Coding: Generalizing Cycles and Cliques.

Chandra Thapa, Lawrence Ong, Sarah J. Johnson

IEEE Trans. Inf. Theory, 2017

2016

Graph-Theoretic Approaches to Two-Sender Index Coding.

Chandra Thapa, Lawrence Ong, Sarah J. Johnson

Proceedings of the 2016 IEEE Globecom Workshops, Washington, DC, USA, December 4-8, 2016, 2016

2015

Generalized interlinked cycle cover for index coding.

Chandra Thapa, Lawrence Ong, Sarah J. Johnson

Proceedings of the 2015 IEEE Information Theory Workshop, 2015

A new index coding scheme exploiting interlinked cycles.

Chandra Thapa, Lawrence Ong, Sarah J. Johnson

Proceedings of the IEEE International Symposium on Information Theory, 2015

2012

Analysis of Fractional Frequency Reuse (FFR) over Classical Reuse Scheme in 4G (LTE) Cellular Network.

Chandra Thapa, C. Chandrasekhar

Proceedings of the Advances in Computing and Information Technology - Proceedings of the Second International Conference on Advances in Computing and Information Technology (ACITY) July 13-15, 2012, Chennai, India, 2012