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2020 – today
- 2026
[j4]Jingda Yang
, Paul Ratazzi, Ying Wang:
Advanced Security for NextG Mobile Networks: A Hybrid Fuzzing Approach. IEEE Trans. Mob. Comput. 25(3): 3261-3278 (2026)- 2025
- [j3]Bing Mak, Jingda Yang, Juntao Chen, Paul Ratazzi, Ying Wang:
Symbolic and Safety-Centric Formal Verification of MAVLink for Autonomous eVTOL Systems. IEEE Netw. Lett. 7(4): 260-264 (2025) - [c9]Jingda Yang, Paul Ratazzi, Ying Wang:
Unifying Generative and Classification-Based Relation Extraction via MCTS for nextG Protocol Formal Verification. MILCOM 2025: 1308-1314 - 2024
- [j2]Jingda Yang, Ying Wang:
Toward Auto-Modeling of Formal Verification for NextG Protocols: A Multimodal Cross- and Self-Attention Large Language Model Approach. IEEE Access 12: 27858-27869 (2024) - [j1]Jingda Yang, Sudhanshu Arya, Ying Wang:
Formal-Guided Fuzz Testing: Targeting Security Assurance From Specification to Implementation for 5G and Beyond. IEEE Access 12: 29175-29193 (2024) - [c8]Yifeng Peng, Xinyi Li, Jingda Yang, Sudhanshu Arya, Ying Wang:
RAFT: A Real-Time Framework for Root Cause Analysis in 5G and Beyond Vulnerability Detection. CCNC 2024: 446-454 - [c7]Jingda Yang, Ying Wang:
Dependency-Graph Enabled Formal Analysis for 5G AKA Protocols: Assumption Propagation and Verification. ICC 2024: 715-721 - [c6]Jingda Yang, Ying Wang:
Trustworthy Formal Verification in 5G Protocols: Evaluating Generative and Classification Models for Relation Extraction. MILCOM 2024: 956-962 - 2023
- [c5]Jingda Yang, Ying Wang, Tuyen X. Tran, Yanjun Pan:
5G RRC Protocol and Stack Vulnerabilities Detection via Listen-and-Learn. CCNC 2023: 236-241 - [c4]Shiyu Yuan, Jingda Yang, Sudhanshu Arya, Carlo Lipizzi, Ying Wang:
From Ambiguity to Explicitness: NLP-Assisted 5G Specification Abstraction for Formal Analysis. CloudNet 2023: 229-237 - [c3]Jingda Yang, Ying Wang:
HyFuzz: A NextG Hybrid Testing Platform for Multi-step Deep Fuzzing and Performance Assessment from Virtualization to Over-the-Air. CloudNet 2023: 274-280 - [c2]Yifeng Peng, Jingda Yang, Sudhanshu Arya, Ying Wang:
SmiLe Net: A Supervised Graph Embedding-based Machine Learning Approach for NextG Vulnerability Detection. MILCOM 2023: 554-561 - [c1]Danielle Dauphinais, Michael Zylka, Harris Spahic, Farhan Shaik, Jingda Yang, Isabella Cruz, Jakob Gibson, Ying Wang:
Automated Vulnerability Testing and Detection Digital Twin Framework for 5G Systems. NetSoft 2023: 308-310 - [i5]Jingda Yang, Ying Wang, Yanjun Pan, Tuyen X. Tran:
Systematic Meets Unintended: Prior Knowledge Adaptive 5G Vulnerability Detection via Multi-Fuzzing. CoRR abs/2305.08039 (2023) - [i4]Jingda Yang, Ying Wang:
Formal and Fuzzing Amplification: Targeting Vulnerability Detection in 5G and Beyond. CoRR abs/2307.05758 (2023) - [i3]Jingda Yang, Sudhanshu Arya, Ying Wang:
Formal-Guided Fuzz Testing: Targeting Security Assurance from Specification to Implementation for 5G and Beyond. CoRR abs/2307.11247 (2023) - [i2]Shiyu Yuan, Jingda Yang, Sudhanshu Arya, Carlo Lipizzi, Ying Wang:
From Ambiguity to Explicitness: NLP-Assisted 5G Specification Abstraction for Formal Analysis. CoRR abs/2308.03277 (2023) - [i1]Jingda Yang, Ying Wang:
Towards Auto-Modeling of Formal Verification for NextG Protocols: A Multimodal cross- and self-attention Large Language Model Approach. CoRR abs/2312.17353 (2023)
Coauthor Index
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