Mingyu Yang

Orcid: 0000-0003-3722-7009

Affiliations:
  • University of Electro-Communications, Graduate School of Informatics and Engineering, Japan
  • Institute of Science Tokyo, School of Engineering, Japan
  • Tokyo Institute of Technology, School of Engineering, Japan (PhD 2024)


According to our database1, Mingyu Yang authored at least 10 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Resilient and Interpretable Power Fingerprinting for IoT DDoS Defense.
IEEE Open J. Commun. Soc., 2026

2025
PSYLOCKE: Provably Secure Logic Locking with Practical Efficiency.
IACR Cryptol. ePrint Arch., 2025

Lightweight Real-Time Detection of DDoS Attacks on Iot Devices via Power Side-Channel Analysis.
Proceedings of the IEEE International Conference on Communications, 2025

2024
Hardware/Software Cooperative Design Against Power Side-Channel Attacks on IoT Devices.
IEEE Internet Things J., May, 2024

High-Level Synthesis Countermeasure Using Threshold Implementation with Mixed Number of Shares.
Proceedings of the 14th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, 2024

2023
Power Side-channel Attack Resistant Circuit Designs of ARX Ciphers Using High-level Synthesis.
ACM Trans. Embed. Comput. Syst., September, 2023

Power Side-channel Countermeasures for ARX Ciphers using High-level Synthesis.
Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2023

On the Practical Dependency of Fresh Randomness in AES S-box with Second-Order TI.
Proceedings of the Eleventh International Symposium on Computing and Networking, CANDAR 2023, 2023

2022
Examining Vulnerability of HLS-designed Chaskey-12 Circuits to Power Side-Channel Attacks.
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

2020
Implementation of Lightweight eHealth Applications on a Low-Power Embedded Processor.
IEEE Access, 2020


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