Miles Q. Li

18 papers B 2C 3Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
GPT-based self-supervised anomaly detection in command lines.
J. Comput. Virol. Hacking Tech.
Miles Q. Li, Julien Keutchayan, François Charest, Benjamin C. M. Fung
2025 J jnl
A Benchmark for Evaluating Outcome-Driven Constraint Violations in Autonomous AI Agents.
CoRR
Miles Q. Li, Benjamin C. M. Fung, Martin Weiss, Pulei Xiong, Khalil Al-Hussaeni, Claude Fachkha
2025 J jnl
Security Concerns for Large Language Models: A Survey.
CoRR
Miles Q. Li, Benjamin C. M. Fung
2025 J jnl
Security concerns for Large Language Models: A survey.
J. Inf. Secur. Appl.
Miles Q. Li, Benjamin C. M. Fung
2025 B conf
Training Dynamics of a 1.7B LLaMa Model: A Data-Efficient Approach.
IJCNN
Miles Q. Li, Benjamin C. M. Fung, Shih-Chia Huang
2024 J jnl
Experience of Training a 1.7B-Parameter LLaMa Model From Scratch.
CoRR
Miles Q. Li, Benjamin C. M. Fung, Shih-Chia Huang
2024 J jnl
On the Effectiveness of Incremental Training of Large Language Models.
CoRR
Miles Q. Li, Benjamin C. M. Fung, Shih-Chia Huang
2024 J jnl
Survey on Explainable AI: Techniques, challenges and open issues.
Expert Syst. Appl.
Adel Abusitta, Miles Q. Li, Benjamin C. M. Fung
2023 — conf
A Novel Deep Multi-head Attentive Vulnerable Line Detector.
INNS DLIA@IJCNN
Miles Q. Li, Benjamin C. M. Fung, Ashita Diwan
2022 J jnl
DyAdvDefender: An instance-based online machine learning model for perturbation-trial-based black-box adversarial defense.
Inf. Sci.
Miles Q. Li, Benjamin C. M. Fung, Philippe Charland
2022 C conf
Interpretable Malware Classification based on Functional Analysis.
ICSOFT
Miles Q. Li, Benjamin C. M. Fung
2022 B conf
On the Effectiveness of Interpretable Feedforward Neural Network.
IJCNN
Miles Q. Li, Benjamin C. M. Fung, Adel Abusitta
2022 C conf
VDGraph2Vec: Vulnerability Detection in Assembly Code using Message Passing Neural Networks.
ICMLA
Ashita Diwan, Miles Q. Li, Benjamin C. M. Fung
2021 — conf
A Novel Neural Network-Based Malware Severity Classification System.
ICSOFT (Selected Papers)
Miles Q. Li, Benjamin C. M. Fung
2021 C conf
A Novel and Dedicated Machine Learning Model for Malware Classification.
ICSOFT
Miles Q. Li, Benjamin C. M. Fung, Philippe Charland, Steven H. H. Ding
2021 J jnl
Malware classification and composition analysis: A survey of recent developments.
J. Inf. Secur. Appl.
Adel Abusitta, Miles Q. Li, Benjamin C. M. Fung
2021 J jnl
On the Effectiveness of Interpretable Feedforward Neural Network.
CoRR
Miles Q. Li, Benjamin C. M. Fung, Adel Abusitta
2019 J jnl
I-MAD: A Novel Interpretable Malware Detector Using Hierarchical Transformer.
CoRR
Miles Q. Li, Benjamin C. M. Fung, Philippe Charland, Steven H. H. Ding