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2020 – today
- 2024
[j4]Adel Abusitta
, Miles Q. Li, Benjamin C. M. Fung:
Survey on Explainable AI: Techniques, challenges and open issues. Expert Syst. Appl. 255: 124710 (2024)- 2023
- [c6]Miles Q. Li, Benjamin C. M. Fung, Ashita Diwan:
A Novel Deep Multi-head Attentive Vulnerable Line Detector. INNS DLIA@IJCNN 2023: 35-44 - 2022
- [j3]Miles Q. Li, Benjamin C. M. Fung, Philippe Charland:
DyAdvDefender: An instance-based online machine learning model for perturbation-trial-based black-box adversarial defense. Inf. Sci. 601: 357-373 (2022) - [c5]Ashita Diwan, Miles Q. Li, Benjamin C. M. Fung:
VDGraph2Vec: Vulnerability Detection in Assembly Code using Message Passing Neural Networks. ICMLA 2022: 1039-1046 - [c4]Miles Q. Li, Benjamin C. M. Fung:
Interpretable Malware Classification based on Functional Analysis. ICSOFT 2022: 500-507 - [c3]Miles Q. Li, Benjamin C. M. Fung, Adel Abusitta:
On the Effectiveness of Interpretable Feedforward Neural Network. IJCNN 2022: 1-8 - 2021
- [j2]Miles Q. Li, Benjamin C. M. Fung, Philippe Charland, Steven H. H. Ding:
I-MAD: Interpretable malware detector using Galaxy Transformer. Comput. Secur. 108: 102371 (2021) - [j1]Adel Abusitta, Miles Q. Li, Benjamin C. M. Fung:
Malware classification and composition analysis: A survey of recent developments. J. Inf. Secur. Appl. 59: 102828 (2021) - [c2]Miles Q. Li, Benjamin C. M. Fung:
A Novel Neural Network-Based Malware Severity Classification System. ICSOFT (Selected Papers) 2021: 218-232 - [c1]Miles Q. Li, Benjamin C. M. Fung, Philippe Charland, Steven H. H. Ding:
A Novel and Dedicated Machine Learning Model for Malware Classification. ICSOFT 2021: 617-628 - [i2]Miles Q. Li, Benjamin C. M. Fung, Adel Abusitta:
On the Effectiveness of Interpretable Feedforward Neural Network. CoRR abs/2111.02303 (2021)
2010 – 2019
- 2019
- [i1]Miles Q. Li, Benjamin C. M. Fung, Philippe Charland, Steven H. H. Ding:
I-MAD: A Novel Interpretable Malware Detector Using Hierarchical Transformer. CoRR abs/1909.06865 (2019)
Coauthor Index
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