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Chandra Thapa
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2020 – today
- 2024
- [j10]Saud Khan
, Chandra Thapa
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 - [i30]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) - [i29]William Holland, Chandra Thapa, Sarah Ali Siddiqui, Wei Shao, Seyit Camtepe:
One-Shot Collaborative Data Distillation. CoRR abs/2408.02266 (2024) - [i28]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) - [i27]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) - [i26]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) - [i25]Hevish Cowlessur, Chandra Thapa, Tansu Alpcan, Seyit Camtepe:
A Hybrid Quantum Neural Network for Split Learning. CoRR abs/2409.16593 (2024) - 2023
- [j9]Praveen Joshi
Enabling All In-Edge Deep Learning: A Literature Review. IEEE Access 11: 3431-3460 (2023) - [j8]Falih Gozi Febrinanto
Graph Lifelong Learning: A Survey. IEEE Comput. Intell. Mag. 18(1): 32-51 (2023) - [j7]Chandra Thapa
Evaluation of Federated Learning in Phishing Email Detection. Sensors 23(9): 4346 (2023) - [c14]Tina Moghaddam
POSTER: Toward Intelligent Cyber Attacks for Moving Target Defense Techniques in Software-Defined Networking. AsiaCCS 2023: 1022-1024 - [c13]Saud Khan
Beyond Key-Based Authentication: A Novel Continuous Authentication Paradigm for IoTs. GLOBECOM (Workshops) 2023: 166-171 - [i24]Qun Li, Chandra Thapa, Lawrence Ong
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
Bushfire Risk Detection Using Internet of Things: An Application Scenario. IEEE Internet Things J. 9(7): 5266-5274 (2022) - [j5]Yansong Gao
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
SplitFed: When Federated Learning Meets Split Learning. AAAI 2022: 8485-8493 - [c11]Chandra Thapa
Transformer-Based Language Models for Software Vulnerability Detection. ACSAC 2022: 481-496 - [c10]Chandra Thapa
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
Transformer-Based Language Models for Software Vulnerability Detection: Performance, Model's Security and Platforms. CoRR abs/2204.03214 (2022) - [i15]Praveen Joshi, Haithem Afli
Enabling Deep Learning for All-in EDGE paradigm. CoRR abs/2204.03326 (2022) - 2021
- [j4]Chandra Thapa
Precision health data: Requirements, challenges and existing techniques for data security and privacy. Comput. Biol. Medicine 129: 104130 (2021) - [c9]Anahita Namvar, Chandra Thapa
Evaluating the Security of Machine Learning Based IoT Device Identification Systems Against Adversarial Examples. ICSOC 2021: 800-810 - [c8]Chandra Thapa
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
Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training? AsiaCCS 2020: 305-318 - [c6]Kallol Krishna Karmakar
Towards a Security Enhanced Virtualised Network Infrastructure for Internet of Medical Things (IoMT). NetSoft 2020: 257-261 - [c5]Yansong Gao
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
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
End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things. CoRR abs/2003.13376 (2020) - [i9]Chandra Thapa
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
Structural Characteristics of Two-Sender Index Coding. Entropy 21(6): 615 (2019) - 2018
- [j2]Chandra Thapa
Corrections to "Interlinked Cycles for Index Coding: Generalizing Cycles and Cliques". IEEE Trans. Inf. Theory 64(9): 6460 (2018) - 2017
- [j1]Chandra Thapa
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
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
A new index coding scheme exploiting interlinked cycles. ISIT 2015: 1024-1028 - [c2]Chandra Thapa
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
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 2024-10-28 21:16 CET by the dblp team
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