Research Interests
My research interest is Cybersecurity, and related research areas fall on the intersection of Mobile Systems, Trustworthy AI, and Wireless Communications. As a cybersecurity researcher, I discover the vulnerabilities of existing mobile systems, design the countermeasures of advanced attacks targeted AI models and systems, and explore the potential innovations to boost the usability of real-world applications. My highlight research primarily focuses on Security, Privacy, and Usability.
Security
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[ICDE 2023] Federated IoT Interaction Vulnerability Analysis
Authors: Guangjing Wang, Hanqing Guo, Anran Li, Xiaorui Liu, Qiben Yan
Keyword: federated learning, security and privacy, explainability, IoT
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Privacy
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[DSN 2022] NEC: Speaker Selective Cancellation via Neural Enhanced Ultrasound Shadowing
Authors: Hanqing Guo*, Chenning Li*, Lingkun Li, Zhichao Cao, Qiben Yan, Li Xiao (* indicate co-first author)
Keyword: Protect hidden recording, ultrasound, voice cancellation
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[ICC 2020] Deep Learning Driven Wireless Real-time Human Activity Recognition
Authors: Hanqing Guo, Nan Zhang, Shaoen Wu, Qing Yang
Keyword: Activity detection, radar sensing
Usability
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[Mobicom 2022] U-star: An underwater navigation system based on passive 3d optical identification tags
Authors: Xiao Zhang, Hanqing Guo, James M Mariani, Li Xiao
Keyword: Underwater navigation, visible light communication
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[SenSys 2021] NELoRa: Towards Ultra-low SNR LoRa Communication with Neural-enhanced Demodulation
Authors: Chenning Li, Hanqing Guo, Shuai Tong, Xiao Zeng, Zhichao Cao, Mi Zhang, Qiben Yan, Li Xiao, Jiliang Wang, Yunhao Liu
Keyword: Low SNR Lora, denoise, wireless IoT communication