Tram Truong-Huu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Machine Learning

Foreground Segmentation

Malware Detection

Top Venues

ICDM (Workshops)

J. Reliab. Intell. Environ.

Publications

Akshita Abrol, Purnima Murali Mohan, Tram Truong-Huu
FaiRTT: An Empirical Approach for Enhanced RTT Fairness and Bottleneck Throughput in BBR. CoRR (2024)
Akshita Abrol, Purnima Murali Mohan, Tram Truong-Huu
A Deep Reinforcement Learning Approach for Adaptive Traffic Routing in Next-gen Networks. CoRR (2024)
Akshita Abrol, Purnima Murali Mohan, Tram Truong-Huu
FaiRTT: An Empirical Approach for Enhanced RTT Fairness and Bottleneck Throughput in BBR. ICC Workshops (2024)
Le Qi Yau, Yik Ting Lam, Ashwin Lokesh, Prannaya Gupta, Justin Lim, Ishneet Sukhvinder Singh, Jia Yi Loo, Mao V. Ngo, Sin G. Teo, Tram Truong-Huu
A Novel Feature Vector for AI-Assisted Windows Malware Detection. DASC/PiCom/CBDCom/CyberSciTech (2023)
Mao V. Ngo, Tram Truong-Huu, Dima Rabadi, Jia Yi Loo, Sin G. Teo
Fast and Efficient Malware Detection with Joint Static and Dynamic Features Through Transfer Learning. ACNS (1) (2023)
Yubo Hou, Tram Truong-Huu, Zhenghua Chen, Chee-Keong Kwoh, Sin G. Teo
PROTEUS: Domain Adaptation for Dynamic Features in AI-assisted Windows Malware Detection. ICDM (Workshops) (2023)
Hong Linh Truong, Tram Truong-Huu, Tien-Dung Cao
Making distributed edge machine learning for resource-constrained communities and environments smarter: contexts and challenges. J. Reliab. Intell. Environ. 9 (2) (2023)
Mao V. Ngo, Tram Truong-Huu, Dima Rabadi, Jia Yi Loo, Sin G. Teo
Fast and Efficient Malware Detection with Joint Static and Dynamic Features Through Transfer Learning. CoRR (2022)
Yuchen Lan, Tram Truong-Huu, Jiyan Wu, Sin G. Teo
Cascaded Multi-Class Network Intrusion Detection With Decision Tree and Self-attentive Model. ICDM (Workshops) (2022)
Thai-Dien Pham, Thien-Lac Ho, Tram Truong-Huu, Tien-Dung Cao, Hong Linh Truong
MAppGraph: Mobile-App Classification on Encrypted Network Traffic using Deep Graph Convolution Neural Networks. ACSAC (2021)
Cuong V. Nguyen, Tien-Dung Cao, Tram Truong-Huu, Khanh N. Pham, Binh T. Nguyen
An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator. CoRR (2021)
Jingyi Liao, Sin G. Teo, Partha Pratim Kundu, Tram Truong-Huu
ENAD: An Ensemble Framework for Unsupervised Network Anomaly Detection. CSR (2021)
Sai Praveen Kadiyala, Kartheek Akella, Tram Truong-Huu
Program Behavior Analysis and Clustering using Performance Counters. CoRR (2021)
Partha Pratim Kundu, Lux Anatharaman, Tram Truong-Huu
An Empirical Evaluation of Automated Machine Learning Techniques for Malware Detection. IWSPA@CODASPY (2021)
Wee Ling Tan, Tram Truong-Huu
Enhancing Robustness of Malware Detection using Synthetically-adversarial Samples. GLOBECOM (2020)
Tien-Dung Cao, Tram Truong-Huu, Hien Duy Tran, Khanh Tran
A Federated Learning Framework for Privacy-preserving and Parallel Training. CoRR (2020)