Tho Quan

Physical Transferable Attack against Black-box Face Recognition Systems

2021

Recent studies have shown that machine learning models in general and deep neural networks like CNN, in particular, are vulnerable to adversarial attacks. Specifically, in terms of face recognition, one can easily deceive deep learning …

Social Bot Detector using Graph Neural Networks

2022 · 2022 RIVF International Conference on Computing and Communication Technologies (RIVF)

The importance of online social networks (OSNs) has been fueled by the human need for digital communication and broadcasting, as well as the improved state of internet connections and electronic devices. Meanwhile, social bots have …

A Human-like Interactive Chatbot Framework for Vietnamese Banking Domain

2022

In recent years, the application of chatbots evolved rapidly in numerous fields and received increasing attention in the academic and industrial communities. In this paper, we present a novel chatbot framework based on machine learning …

URAG: Implementing a Unified Hybrid RAG for Precise Answers in University Admission Chatbots -- A Case Study at HCMUT

2025 · arXiv (Cornell University)

With the rapid advancement of Artificial Intelligence, particularly in Natural Language Processing, Large Language Models (LLMs) have become pivotal in educational question-answering systems, especially university admission chatbots. Concepts such as Retrieval-Augmented Generation (RAG) and other …

Evaluating Classical Software Process Models as Coordination Mechanisms for LLM-Based Software Generation

2025 · arXiv (Cornell University)

[Background] Large Language Model (LLM)-based multi-agent systems (MAS) are transforming software development by enabling autonomous collaboration. Classical software processes such asWaterfall, V-Model, and Agile offer structured coordination patterns that can be repurposed to guide these …