6 citations · 25 across the 35 of their papers we have counts for
5 papers · 1 filter
Generalized Deepfakes Detection with Reconstructed-Blended Images and Multi-scale Feature Reconstruction Network
Yuyang Sun, Huy H. Nguyen, Chun-Shien Lu +3
The growing diversity of digital face manipulation techniques has led to an urgent need for a universal and robust detection technology to mitigate the risks posed by malicious for…
A Novel Statistical Measure for Out-of-Distribution Detection in Data Quality Assurance
Tinghui Ouyang, Isao Echizen, Yoshiki Seo
Data outside the problem domain poses significant threats to the security of AI-based intelligent systems. Aiming to investigate the data domain and out-of-distribution (OOD) data…
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…
How Close are Other Computer Vision Tasks to Deepfake Detection?
Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
In this paper, we challenge the conventional belief that supervised ImageNet-trained models have strong generalizability and are suitable for use as feature extractors in deepfake…
Defending Against Physical Adversarial Patch Attacks on Infrared Human Detection
Lukas Strack, Futa Waseda, Huy H. Nguyen +2
Infrared detection is an emerging technique for safety-critical tasks owing to its remarkable anti-interference capability. However, recent studies have revealed that it is vulnera…