64 citations · 104 across the 11 of their papers we have counts for
11 papers
STAIN-FL: Stealthy Targeted Attack Injection with Contextual Triggers in Federated Learning
Ashlinder Kaur, Purnima Murali Mohan, Zengxiang Li +1
Federated video anomaly detection trains model collaboratively without sharing raw surveillance footage, but limited server-side visibility lets compromised clients to inject backd…
ContractShield: Bridging Semantic-Structural Gaps via Hierarchical Cross-Modal Fusion for Multi-Label Vulnerability Detection in Obfuscated Smart Contracts
Minh-Dai Tran-Duong, Nguyen Hai Phong, Nguyen Chi Thanh +4
Smart contracts are increasingly targeted by adversaries employing obfuscation techniques such as bogus code injection and control flow manipulation to evade vulnerability detectio…
Instruction Tuning of Large Language Models for Tabular Data Generation-in One Day
Milad Abdollahzadeh, Abdul Raheem, Zilong Zhao +5
Tabular instruction tuning has emerged as a promising research direction for improving LLMs understanding of tabular data. However, the majority of existing works only consider que…
FaiRTT: An Empirical Approach for Enhanced RTT Fairness and Bottleneck Throughput in BBR
Akshita Abrol, Purnima Murali Mohan, Tram Truong-Huu
In next-generation networks, achieving Round-trip Time (RTT) fairness is essential for ensuring fair bandwidth distribution among diverse flow types, enhancing overall network util…
Asyn2F: An Asynchronous Federated Learning Framework with Bidirectional Model Aggregation
Tien-Dung Cao, Nguyen T. Vuong, Thai Q. Le +2
In federated learning, the models can be trained synchronously or asynchronously. Many research works have focused on developing an aggregation method for the server to aggregate m…
A Deep Reinforcement Learning Approach for Adaptive Traffic Routing in Next-gen Networks
Akshita Abrol, Purnima Murali Mohan, Tram Truong-Huu
Next-gen networks require significant evolution of management to enable automation and adaptively adjust network configuration based on traffic dynamics. The advent of software-def…
Fast and Efficient Malware Detection with Joint Static and Dynamic Features Through Transfer Learning
Mao V. Ngo, Tram Truong-Huu, Dima Rabadi +2
In malware detection, dynamic analysis extracts the runtime behavior of malware samples in a controlled environment and static analysis extracts features using reverse engineering…
An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator
Cuong V. Nguyen, Tien-Dung Cao, Tram Truong-Huu +2
Generative Adversarial Networks (GANs) have emerged as useful generative models, which are capable of implicitly learning data distributions of arbitrarily complex dimensions. Howe…
Program Behavior Analysis and Clustering using Performance Counters
Sai Praveen Kadiyala, Akella Kartheek, Tram Truong-Huu
Understanding the dynamic behavior of computer programs during normal working conditions is an important task, which has multiple security benefits such as the development of behav…
A Federated Deep Learning Framework for Privacy Preservation and Communication Efficiency
Tien-Dung Cao, Tram Truong-Huu, Hien Tran +1
Deep learning has achieved great success in many applications. However, its deployment in practice has been hurdled by two issues: the privacy of data that has to be aggregated cen…
Machine Learning-based Link Fault Identification and Localization in Complex Networks
Srinikethan Madapuzi Srinivasan, Tram Truong-Huu, Mohan Gurusamy
With the proliferation of network devices and rapid development in information technology, networks such as Internet of Things are increasing in size and becoming more complex with…