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Guangyuan Hu
Guangyuan Hu
PhD Candidate, Princeton University
Verified email at princeton.edu - Homepage
Title
Cited by
Cited by
Year
Power-grid controller anomaly detection with enhanced temporal deep learning
Z He, A Raghavan, G Hu, S Chai, R Lee
2019 18th IEEE International Conference On Trust, Security And Privacy In …, 2019
302019
New models for understanding and reasoning about speculative execution attacks
Z He, G Hu, R Lee
2021 IEEE International Symposium on High-Performance Computer Architecture …, 2021
272021
Sok: Hardware defenses against speculative execution attacks
G Hu, Z He, RB Lee
2021 International Symposium on Secure and Private Execution Environment …, 2021
112021
CloudShield: Real-time Anomaly Detection in the Cloud
Z He, G Hu, RB Lee
Proceedings of the Thirteenth ACM Conference on Data and Application …, 2023
52023
Protecting Cache States Against Both Speculative Execution Attacks and Side-channel Attacks
G Hu, RB Lee
arXiv preprint arXiv:2302.00732, 2023
52023
Smartphone impostor detection with behavioral data privacy and minimalist hardware support
G Hu, Z He, RB Lee
arXiv preprint arXiv:2103.06453, 2021
42021
Smartphone impostor detection with built-in sensors and deep learning
G Hu, Z He, R Lee
arXiv preprint arXiv:2002.03914, 2020
22020
Random and Safe Cache Architecture to Defeat Cache Timing Attacks
G Hu, RB Lee
arXiv preprint arXiv:2309.16172, 2023
2023
Devices and methods for smartphone impostor detection using behavioral and environmental data
R Lee, G Hu
US Patent App. 17/668,142, 2022
2022
Position Paper: Consider Hardware-enhanced Defenses for Rootkit Attacks
G Hu, T Zhang, RB Lee
Proceedings of the 9th International Workshop on Hardware and Architectural …, 2020
2020
2021 International Symposium on Secure and Private Execution Environment Design (SEED)| 978-1-6654-2025-9/21/$31.00© 2021 IEEE| DOI: 10.1109/SEED51797. 2021.00034
A Aharon, I Akturk, FA Andargie, MA Arroyo, T Austin, A Awad, L Biernacki, ...
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