Dr. Zhengxin Yu – Systems & Security Group (SSG)

Zhengxin Yu received her Ph.D. degree in Computer Science from the University of Exeter, UK. Her research interests focus on Federated Learning, Deep Learning, Multi-access Edge Computing and Internet of Things.

Publications

Z. Yu, Y. Lu, N. Suri, “RAFL: A Robust and Adaptive Federated Meta-Learning Framework Against Adversaries”, in Proc of IEEE MASS, 2023.
Z. Yu, Y. Lu, P. Angelov, N. Suri, “PPFM: An Adaptive and Hierarchical Peer-to-Peer Federated Meta-Learning Framework”, in Proc of IEEE Mobility, Sensing and Networking Conference, 2022. (Best Paper Award)
Y. Lu, Z. Yu, N. Suri, “Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph”, arXiv preprint arXiv:2210.00325, 2022.
X. Jiang, Z. Yu, C. Hai, H. Liu, X. Wu, T. Ward, “DNformer: Temporal Link Prediction with Transfer Learning in Dynamic Networks”, ACM Transactions on Knowledge Discovery from Data 17 (3), 1-21, 2022.
W. Hackett, S. Trawicki, Z. Yu, N. Suri, P. Garraghan, “PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models”, arXiv preprint arXiv:2209.06300.
Z. Yu, J. Hu, G. Min, Z. Wang, W. Miao, S. Li, “Privacy-Preserving Federated Deep Learning for Cooperative Hierarchical Caching in Fog Computing”, IEEE Internet of Things Journal, vol. 9, no. 22, pp. 22246-22255, 2021.
Z. Yu, J. Hu, G. Min, Z. Zhao, W. Miao, “Mobility-Aware Proactive Edge Caching for Connected Vehicles using Federated Learning”, IEEE Transactions on Intelligent Transportation System, vol. 22, no. 8, pp. 5341-535, 2020. (Highly Cited Paper)
Z. Yu, J. Hu, G. Min, “Peer to Peer Federated Deep Learning based Proactive Caching for IoV”, in Proc. of IEEE International Conference on Parallel and Distributed Systems, 2020.
Z. Yu, J. Hu, G. Min, H. Lu, Z. Zhao, H. Wang, N. Georgalas, “Federated Learning Based Proactive Content Caching in Edge Computing”, in Proc. of IEEE Global Communications Conference, 2018.
W. Miao, C. Luo, G. Min, Y. Mi, Z. Yu, “Location-based Robust Beamforming Design for Cellular- enabled UAV Communications”, IEEE Internet of Things Journal, vol. 8, no. 12, pp. 9934-9944, 2021.
W. Gao, Z. Zhao, Z. Yu, G. Min, M. Yang and W. Huang, “Edge Computing based Channel Allocation for Deadline-driven IoT Networks”, IEEE Transactions on Industrial Informatics, vol.16, no.10, pp. 6693-6702, 2020.
H. Lin, J. Hu, J. Ma, L. Xu and Z. Yu, A secure collaborative spectrum sensing strategy in cyber-physical systems. IEEE Access, 5, pp.27679-27690, 2017.

Projects

EU H2020, INITIATE: Intelligent and Sustainable Aerial-Terrestrial IoT Networks
Public Cloud Reliability and Intelligent Operation & Management
High-performance Distributed Algorithms and Key Technologies for Processing SDN Big Data

Professional Services

ECRs Chair: The Frist International Symposium on Trustworthy Autonomous Systems, 11–12, July, 2023, Edinburgh, UK.
Organising Committee: ICRA-2023 Workshop on Multidisciplinary Approaches to Co-Creating Trustworthy Autonomous Systems, 2023.
Publicity Chair: IEEE International Conference on Metaverse, Computing, Networking and Applications (IEEE MetaCom-2023), 26-28, June, Kyoto, Japan.
Publicity Chair: IEEE International Conference on Cloud Networking (IEEE CloudNet-2022), 7-10, Nov., 2022, Paris, France.
Web and System Management Chair: The 20th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom-2021), 18-20, Aug, 2021, Shenyang, China.
Local Arrangement Chair: The 18th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA-2020), 17-19, Dec, 2020, Exeter, UK.
Web and System Management Chair: The 10th IEEE International Conference on Smart Computing, Networking and Services (SmartCNS-2019), 21-23, Oct, 2019, Shenyang, China.
Local Arrangement Chair: The 20th IEEE International Conference on High Performance Computing and Communication (HPCC-2018), 28-30, June, 2018, Exeter, UK.
Web and System Management Chair: The 3rd IEEE International Conference on Cybernetics (Cybconf-2017), 21-23, June, 2017, Exeter, UK.
Technical Program Committee Member & Reviewer: IEEE Transactions on Network Science and Engineering, The Computer Journal, IEEE Internet of Things, Journal of Circuits, Systems and Computers, Neurocomputing, etc.

News & Events
IEEE TFS’24 Y. Li et al, Adversarial Attack Detection via Fuzzy Predictions. pdf
ECCV’24 Y. Li et al, Self-Supervised Representation Learning for Adversarial Attack Detection. pdf
ANRW '24 S. Kastanakis et al, Investigating Location-Aware Advertisements in Anycast IP Networks. pdf
IJCNN '24 Y. Li et al, Rethinking Self-Supervised Learning for Cross-Domain Adversarial Sample Recovery. pdf
ICANN '24 Y. Li et al, Federated Adversarial Learning for Robust Autonomous Landing Runway Detection. pdf
IJCNN '24 A. Pellcier et al, UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification. pdf
NFM '24 O. Gunasekera et al, Real Arithmetic in TLAPM. pdf
IEEE TCC S. Manzoor et al, Enabling Multi-Layer Threat Analysis in Dynamic Cloud Environments. pdf
arXiv S. Winter et al, Error Propagation Analysis for Multithreaded Programs: An Empirical Approach. pdf
Springer Open’24 E. Chuah et al, An Empirical Study of Reflection Attacks Using NetFlow Data. pdf
Space Policy’23 V. Varadharajan et al, Security Challenges When Space Merges With Cyberspace. pdf
LANMAN’23 S. Rene et al, Scalable Content-centric Routing for Hybrid ICN. pdf
DAPPS’23 N. Keizer et al, Ditto: Towards Decentralised Similarity Search for Web3 Services. pdf
IMC’23 L. Balduf et al, The Cloud Strikes Back: Investigating the Decentralization of IPFS. pdf
CAMLIS’23 S. Trawicki et al, Compilation as a Defense: Enhancing DL Model Attack Robustness via Tensor Optimization. pdf
CAMLIS’23 L. Birch et al, Model Leeching: An Extraction Attack Targeting LLMs. pdf
SSCI’23 Y. Li et al, Fuzzy Detectors Against Adversarial Attacks. pdf
IMC’23 S. Kastanakis et al, 20 Years of Inferring Inter-domain Routing Policies. pdf
DASC’23 B. Yuksek et al, Federated Meta Learning for Visual Navigation in GPS-denied Urban Airspace. pdf
NDSS’24 S. Sridhar et al, Content Censorship in the InterPlanetary File System. pdf
MASS’23 Z. Yu et al, RAFL: A Robust and Adaptive Federated Meta-Learning Framework Against Adversaries. pdf
TOPS’23 Y. Lu et al, Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph. pdf
T-ASE’23 Y. Lu et al, Transactive Energy System Deployment over Insecure Communication Links. pdf
IJCNN’23 Y. Li et al, Domain Generalization and Feature Fusion for Cross-domain Imperceptible Adversarial Attack Detection. pdf
CyBok: SSG Prof. Suri defines NCSC’s CyBOK knowledge area on Distributed Systems Security
Prof. Suri to lead LU's ACE-CSE
Security Institute to lead £3M UKRI-TAS research node to examine cybersecurity in autonomous systems.^New
MSN'22 Best Paper Award for Z. Yu et al, PPFM: An Adaptive and Hierarchical Peer-to-Peer Federated Meta-Learning Framework
ICNC '23: A. Taha et al, Cloud Security Requirement Based Threat Analysis, to appear.
MSN'22: Z. Yu et al, PPFM: An Adaptive and Hierarchical Peer-to-Peer Federated Meta-Learning Framework. pdf
CIDUE/SSCI'22: E. Soares et al, Similarity-based Deep Neural Network to Detect Imperceptible Adversarial Attacks. pdf
ISSRE'22: Y. Chen et al, SlowCoach: Mutating Code to Simulate Performance Bugs. pdf
FGCS'22: M. Bradbury et al, Information Management for Trust Computation on Resource-constrained IoT Devices. pdf
ToSN'22: M. Bradbury et al, Threat Modelling Guided Trust-based Task Offloading for Resource-constrained Internet of Things. pdf
NCA'21: E. Chuah et al, Challenges in Identifying Network Attacks Using Netflow Data. pdf
COSE'21: B. Green et al, PCaaD: Towards automated determination and exploitation of industrial systems. pdf