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 | 30 | 2019 |
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 | 27 | 2021 |
Sok: Hardware defenses against speculative execution attacks G Hu, Z He, RB Lee 2021 International Symposium on Secure and Private Execution Environment …, 2021 | 11 | 2021 |
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 | 5 | 2023 |
Protecting Cache States Against Both Speculative Execution Attacks and Side-channel Attacks G Hu, RB Lee arXiv preprint arXiv:2302.00732, 2023 | 5 | 2023 |
Smartphone impostor detection with behavioral data privacy and minimalist hardware support G Hu, Z He, RB Lee arXiv preprint arXiv:2103.06453, 2021 | 4 | 2021 |
Smartphone impostor detection with built-in sensors and deep learning G Hu, Z He, R Lee arXiv preprint arXiv:2002.03914, 2020 | 2 | 2020 |
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, ... | | |