activity
20182026
most citedTransformation on Computer-Generated Facial Image to Avoid Detection by Spoofing Detector

7 citations · 12 across the 9 of their papers we have counts for

collaborators

9 papers

cs.IR2026

GeoSearch: Augmenting Worldwide Geolocalization with Web-Scale Reverse Image Search and Image Matching

Tung-Duong Le-Duc, Hoang-Quoc Nguyen-Son, Minh-Son Dao

Worldwide image geolocalization, which aims to predict the GPS coordinates of any image on Earth, remains challenging due to global visual diversity. Recent generative approaches b…

cs.CL2026

SearchLLM: Detecting LLM Paraphrased Text by Measuring the Similarity with Regeneration of the Candidate Source via Search Engine

Hoang-Quoc Nguyen-Son, Minh-Son Dao, Koji Zettsu

With the advent of large language models (LLMs), it has become common practice for users to draft text and utilize LLMs to enhance its quality through paraphrasing. However, this p…

cs.MM2025

Fact-Checking at Scale: Multimodal AI for Authenticity and Context Verification in Online Media

Van-Hoang Phan, Tung-Duong Le-Duc, Long-Khanh Pham +7

The proliferation of multimedia content on social media platforms has dramatically transformed how information is consumed and disseminated. While this shift enables real-time cove…

cs.SE2023★ 1 cited

Quality Assurance of A GPT-based Sentiment Analysis System: Adversarial Review Data Generation and Detection

Tinghui Ouyang, Hoang-Quoc Nguyen-Son, Huy H. Nguyen +2

Large Language Models (LLMs) have been garnering significant attention of AI researchers, especially following the widespread popularity of ChatGPT. However, due to LLMs' intricate…

cs.CL2023

VoteTRANS: Detecting Adversarial Text without Training by Voting on Hard Labels of Transformations

Hoang-Quoc Nguyen-Son, Seira Hidano, Kazuhide Fukushima +2

Adversarial attacks reveal serious flaws in deep learning models. More dangerously, these attacks preserve the original meaning and escape human recognition. Existing methods for d…

cs.CL2021

SEPP: Similarity Estimation of Predicted Probabilities for Defending and Detecting Adversarial Text

Hoang-Quoc Nguyen-Son, Seira Hidano, Kazuhide Fukushima +1

There are two cases describing how a classifier processes input text, namely, misclassification and correct classification. In terms of misclassified texts, a classifier handles th…

cs.CL2019★ 1 cited

Identifying Adversarial Sentences by Analyzing Text Complexity

Hoang-Quoc Nguyen-Son, Tran Phuong Thao, Seira Hidano +1

Attackers create adversarial text to deceive both human perception and the current AI systems to perform malicious purposes such as spam product reviews and fake political posts. W…

cs.CR2019★ 3 cited

Influences of Human Demographics, Brand Familiarity and Security Backgrounds on Homograph Recognition

Tran Phuong Thao, Yukiko Sawaya, Hoang-Quoc Nguyen-Son +4

Homograph attack is a way that attackers deceive victims about which website domain name they are communicating with by exploiting the fact that many characters look alike. The att…

cs.CV2018★ 7 cited

Transformation on Computer-Generated Facial Image to Avoid Detection by Spoofing Detector

Huy H. Nguyen, Ngoc-Dung T. Tieu, Hoang-Quoc Nguyen-Son +2

Making computer-generated (CG) images more difficult to detect is an interesting problem in computer graphics and security. While most approaches focus on the image rendering phase…