James Lee Hu

According to our database1, James Lee Hu authored at least 10 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach.
CoRR, 2024

2023
Large Language Models for Conducting Advanced Text Analytics Information Systems Research.
CoRR, 2023

Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach.
Proceedings of the IEEE International Conference on Data Mining, 2023

Benchmarking the Robustness of Phishing Email Detection Systems.
Proceedings of the 29th Americas Conference on Information Systems, 2023

2022
Multi-view Representation Learning from Malware to Defend Against Adversarial Variants.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021
Binary Black-Box Attacks Against Static Malware Detectors with Reinforcement Learning in Discrete Action Spaces.
Proceedings of the IEEE Security and Privacy Workshops, 2021

Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2021

2020
Binary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model.
CoRR, 2020

Identifying, Collecting, and Monitoring Personally Identifiable Information: From the Dark Web to the Surface Web.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2020

Linking Personally Identifiable Information from the Dark Web to the Surface Web: A Deep Entity Resolution Approach.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020


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