Zhangying He

Orcid: 0000-0002-5072-2955

According to our database1, Zhangying He authored at least 13 papers between 2021 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Guarding Against the Unknown: Deep Transfer Learning for Hardware Image-Based Malware Detection.
J. Hardw. Syst. Secur., June, 2024

Intelligent Malware Detection based on Hardware Performance Counters: A Comprehensive Survey.
Proceedings of the 25th International Symposium on Quality Electronic Design, 2024

Redefining Trust: Assessing Reliability of Machine Learning Algorithms in Intrusion Detection Systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

The AI Companion in Education: Analyzing the Pedagogical Potential of ChatGPT in Computer Science and Engineering.
Proceedings of the IEEE Global Engineering Education Conference, 2024

ObfusGate: Representation Learning-Based Gatekeeper for Hardware-Level Obfuscated Malware Detection.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

Beyond Conventional Defenses: Proactive and Adversarial-Resilient Hardware Malware Detection using Deep Reinforcement Learning.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023
Formal Modeling and Verification of Industrial Robotic Arm - A Case Study.
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Image-Based Zero-Day Malware Detection in IoMT Devices: A Hybrid AI-Enabled Method.
Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Cyber-Immunity at the Core: Securing Biomedical Devices through Hardware-Level Machine Learning Defense.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

2022
Accelerated Machine Learning for On-Device Hardware-Assisted Cybersecurity in Edge Platforms.
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

Breakthrough to Adaptive and Cost-Aware Hardware-Assisted Zero-Day Malware Detection: A Reinforcement Learning-Based Approach.
Proceedings of the IEEE 40th International Conference on Computer Design, 2022

Deep Neural Network and Transfer Learning for Accurate Hardware-Based Zero-Day Malware Detection.
Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

2021
When Machine Learning Meets Hardware Cybersecurity: Delving into Accurate Zero-Day Malware Detection.
Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021


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