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MD Armanuzzaman
MD Armanuzzaman
Northeastern University
northeastern.edu의 이메일 확인됨 - 홈페이지
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A secure and efficient data transmission technique using quantum key distribution
M Armanuzzaman, KMR Alam, MM Hassan, Y Morimoto
2017 4th International Conference on Networking, Systems and Security (NSysS …, 2017
272017
Building Your Own Trusted Execution Environments Using FPGA
M Armanuzzaman, AR Sadeghi, Z Zhao
Proceedings of the 19th ACM Asia Conference on Computer and Communications …, 2024
14*2024
Is the Canary Dead? On the Effectiveness of Stack Canaries on Microcontroller Systems
X Tan, S Mohan, M Armanuzzaman, Z Ma, G Liu, A Eastman, H Hu, ...
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 1350-1357, 2024
52024
Enhancement of resulting image search engine (ERISE) by content-based image retrieval system
M Armanuzzaman
2020 IEEE Region 10 Symposium (TENSYMP), 1416-1419, 2020
52020
Trusted Execution Environments in Embedded and IoT Systems: A CactiLab Perspective
Z Zhao, M Armanuzzaman, X Tan, Z Ma
2024 International Symposium on Secure and Private Execution Environment …, 2024
12024
DURISE-Deblurring of Underwater Image Search Engine by CBIR
M Armanuzzaman
2021 5th International Conference on Electrical Engineering and Information …, 2021
12021
ENOLA: Efficient Control-Flow Attestation for Embedded Systems
M Armanuzzaman, E Kirda, Z Zhao
arXiv preprint arXiv:2501.11207, 2025
2025
Building Your Own Trusted Execution Environments Using FPGA
M Armanuzzaman, AR Sadeghi, Z Zhao
Proceedings of the 19th ACM Asia Conference on Computer and Communications …, 2024
2024
System and method for building customized trusted execution environments with a system-on-chip field programmable gate array
Z Zhao, M Armanuzzaman
US Patent App. 18/504,528, 2024
2024
BYOTee: Towards building your own trusted execution environments using FPGA
M Armanuzzaman, Z Zhao
arXiv preprint arXiv:2203.04214, 2022
2022
Color Correction by QAB (Quantum Particle Swarm Optimization-Ant Colony Optimization-Back Propagation) method
MD Armanuzzaman
2021 16th International Conference on Computer Science & Education (ICCSE …, 2021
2021
Defending Against Membership Inference Attacks on Iteratively Pruned Deep Neural Networks
J Shang, J Wang, K Wang, J Liu, N Jiang, M Armanuzzaman, Z Zhao
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학술자료 1–12