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Chandra Thapa
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2020 – today
- 2024
- [j10]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): 11312-11326 (2024) - [c16]Tina Moghaddam, Guowei Yang, Chandra Thapa, Seyit Camtepe, Dan Dongseong Kim:
MTD in Plain Sight: Hiding Network Behavior in Moving Target Defenses. DSN-S 2024: 50-52 - [c15]William Holland, Chandra Thapa, Wei Shao, Seyit Camtepe, Sarah Ali Siddiqui:
One-Shot Collaborative Data Distillation. ECAI 2024: 2597-2604 - [i31]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 abs/2406.03404 (2024) - [i30]William Holland, Chandra Thapa, Sarah Ali Siddiqui, Wei Shao, Seyit Camtepe:
One-Shot Collaborative Data Distillation. CoRR abs/2408.02266 (2024) - [i29]Sarah Ali Siddiqui, Chandra Thapa, Rayne Holland, Wei Shao, Seyit Camtepe:
Elevating Software Trust: Unveiling and Quantifying the Risk Landscape. CoRR abs/2408.02876 (2024) - [i28]Tina Moghaddam, Guowei Yang, Chandra Thapa, Seyit Camtepe, Dan Dongseong Kim:
MTDSense: AI-Based Fingerprinting of Moving Target Defense Techniques in Software-Defined Networking. CoRR abs/2408.03758 (2024) - [i27]Wei Shao, Chandra Thapa, Rayne Holland, Sarah Ali Siddiqui, Seyit Camtepe:
Attacking Slicing Network via Side-channel Reinforcement Learning Attack. CoRR abs/2409.11258 (2024) - [i26]Hevish Cowlessur, Chandra Thapa, Tansu Alpcan, Seyit Camtepe:
A Hybrid Quantum Neural Network for Split Learning. CoRR abs/2409.16593 (2024) - [i25]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:
From 5G to 6G: A Survey on Security, Privacy, and Standardization Pathways. CoRR abs/2410.21986 (2024) - 2023
- [j9]Praveen Joshi, Mohammed Hasanuzzaman, Chandra Thapa, Haithem Afli, Ted Scully:
Enabling All In-Edge Deep Learning: A Literature Review. IEEE Access 11: 3431-3460 (2023) - [j8]Falih Gozi Febrinanto, Feng Xia, Kristen Moore, Chandra Thapa, Charu Aggarwal:
Graph Lifelong Learning: A Survey. IEEE Comput. Intell. Mag. 18(1): 32-51 (2023) - [j7]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): 4346 (2023) - [c14]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: 1022-1024 - [c13]Saud Khan, Chandra Thapa, Salman Durrani, Seyit Camtepe:
Beyond Key-Based Authentication: A Novel Continuous Authentication Paradigm for IoTs. GLOBECOM (Workshops) 2023: 166-171 - [i24]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 abs/2302.01550 (2023) - [i23]Saud Khan, Chandra Thapa, Salman Durrani, Seyit Camtepe:
Access-based Lightweight Physical Layer Authentication for the Internet of Things Devices. CoRR abs/2303.00307 (2023) - [i22]Anahita Namvar, Chandra Thapa, Salil S. Kanhere:
Discretization-based ensemble model for robust learning in IoT. CoRR abs/2307.08955 (2023) - [i21]Sara Jafarbeiki, Amin Sakzad, Ron Steinfeld, Shabnam Kasra Kermanshahi, Chandra Thapa, Yuki Kume:
ACE: A Consent-Embedded privacy-preserving search on genomic database. CoRR abs/2307.12285 (2023) - [i20]Praveen Joshi, Chandra Thapa, Mohammed Hasanuzzaman, Ted Scully, Haithem Afli:
Federated Split Learning with Only Positive Labels for resource-constrained IoT environment. CoRR abs/2307.13266 (2023) - [i19]Yanqiu Wu, Eromanga Adermann, Chandra Thapa, Seyit Camtepe, Hajime Suzuki, Muhammad Usman:
Radio Signal Classification by Adversarially Robust Quantum Machine Learning. CoRR abs/2312.07821 (2023) - [i18]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 abs/2312.09478 (2023) - 2022
- [j6]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): 5266-5274 (2022) - [j5]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): 2538-2552 (2022) - [c12]Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Camtepe, Lichao Sun:
SplitFed: When Federated Learning Meets Split Learning. AAAI 2022: 8485-8493 - [c11]Chandra Thapa, Seung Ick Jang, Muhammad Ejaz Ahmed, Seyit Camtepe, Josef Pieprzyk, Surya Nepal:
Transformer-Based Language Models for Software Vulnerability Detection. ACSAC 2022: 481-496 - [c10]Chandra Thapa, Seyit Camtepe, Raj Gaire, Surya Nepal, Seung Ick Jang:
Demo - MaLFraDA: A Machine Learning Framework with Data Airlock. CCS 2022: 3523-3525 - [i17]Falih Gozi Febrinanto, Feng Xia, Kristen Moore, Chandra Thapa, Charu Aggarwal:
Graph Lifelong Learning: A Survey. CoRR abs/2202.10688 (2022) - [i16]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 abs/2204.03214 (2022) - [i15]Praveen Joshi, Haithem Afli, Mohammed Hasanuzzaman, Chandra Thapa, Ted Scully:
Enabling Deep Learning for All-in EDGE paradigm. CoRR abs/2204.03326 (2022) - 2021
- [j4]Chandra Thapa, Seyit Camtepe:
Precision health data: Requirements, challenges and existing techniques for data security and privacy. Comput. Biol. Medicine 129: 104130 (2021) - [c9]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: 800-810 - [c8]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: 3-24 - [i14]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 abs/2103.02762 (2021) - [i13]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 abs/2106.05434 (2021) - [i12]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 abs/2109.09246 (2021) - 2020
- [c7]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: 305-318 - [c6]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: 257-261 - [c5]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: 91-100 - [i11]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 abs/2003.12365 (2020) - [i10]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 abs/2003.13376 (2020) - [i9]Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Camtepe:
SplitFed: When Federated Learning Meets Split Learning. CoRR abs/2004.12088 (2020) - [i8]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 abs/2007.13300 (2020) - [i7]Chandra Thapa, Seyit Camtepe:
Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy. CoRR abs/2008.10733 (2020) - [i6]Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Ahmet Çamtepe:
Advancements of federated learning towards privacy preservation: from federated learning to split learning. CoRR abs/2011.14818 (2020)
2010 – 2019
- 2019
- [j3]Chandra Thapa, Lawrence Ong, Sarah J. Johnson, Min Li:
Structural Characteristics of Two-Sender Index Coding. Entropy 21(6): 615 (2019) - 2018
- [j2]Chandra Thapa, Lawrence Ong, Sarah J. Johnson:
Corrections to "Interlinked Cycles for Index Coding: Generalizing Cycles and Cliques". IEEE Trans. Inf. Theory 64(9): 6460 (2018) - 2017
- [j1]Chandra Thapa, Lawrence Ong, Sarah J. Johnson:
Interlinked Cycles for Index Coding: Generalizing Cycles and Cliques. IEEE Trans. Inf. Theory 63(6): 3692-3711 (2017) - [i5]Chandra Thapa, Lawrence Ong, Sarah J. Johnson, Min Li:
Structural Characteristics of Two-Sender Index Coding. CoRR abs/1711.08150 (2017) - 2016
- [c4]Chandra Thapa, Lawrence Ong, Sarah J. Johnson:
Graph-Theoretic Approaches to Two-Sender Index Coding. GLOBECOM Workshops 2016: 1-6 - [i4]Chandra Thapa, Lawrence Ong, Sarah J. Johnson:
Interlinked Cycles for Index Coding: Generalizing Cycles and Cliques. CoRR abs/1603.00092 (2016) - [i3]Chandra Thapa, Lawrence Ong, Sarah J. Johnson:
Graph-Theoretic Approaches to Two-Sender Index Coding. CoRR abs/1609.08878 (2016) - 2015
- [c3]Chandra Thapa, Lawrence Ong, Sarah J. Johnson:
A new index coding scheme exploiting interlinked cycles. ISIT 2015: 1024-1028 - [c2]Chandra Thapa, Lawrence Ong, Sarah J. Johnson:
Generalized interlinked cycle cover for index coding. ITW Fall 2015: 4-8 - [i2]Chandra Thapa, Lawrence Ong, Sarah J. Johnson:
A New Index Coding Scheme Exploiting Interlinked Cycles. CoRR abs/1504.02168 (2015) - [i1]Chandra Thapa, Lawrence Ong, Sarah J. Johnson:
Generalized Interlinked Cycle Cover for Index Coding. CoRR abs/1504.04806 (2015) - 2012
- [c1]Chandra Thapa, C. Chandrasekhar:
Analysis of Fractional Frequency Reuse (FFR) over Classical Reuse Scheme in 4G (LTE) Cellular Network. ACITY (1) 2012: 361-367
Coauthor Index
aka: Seyit Camtepe
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last updated on 2024-12-03 20:30 CET by the dblp team
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