132 citations · 285 across the 36 of their papers we have counts for
27 papers · 1 filter
Exploring Active Data Selection Strategies for Continuous Training in Deepfake Detection
Yoshihiko Furuhashi, Junichi Yamagishi, Xin Wang +2
In deepfake detection, it is essential to maintain high performance by adjusting the parameters of the detector as new deepfake methods emerge. In this paper, we propose a method t…
Physics-Based Adversarial Attack on Near-Infrared Human Detector for Nighttime Surveillance Camera Systems
Muyao Niu, Zhuoxiao Li, Yifan Zhan +3
Many surveillance cameras switch between daytime and nighttime modes based on illuminance levels. During the day, the camera records ordinary RGB images through an enabled IR-cut f…
Variational Autoencoder for Anomaly Detection: A Comparative Study
Huy Hoang Nguyen, Cuong Nhat Nguyen, Xuan Tung Dao +3
This paper aims to conduct a comparative analysis of contemporary Variational Autoencoder (VAE) architectures employed in anomaly detection, elucidating their performance and behav…
LookupForensics: A Large-Scale Multi-Task Dataset for Multi-Phase Image-Based Fact Verification
Shuhan Cui, Huy H. Nguyen, Trung-Nghia Le +2
Amid the proliferation of forged images, notably the tsunami of deepfake content, extensive research has been conducted on using artificial intelligence (AI) to identify forged con…
Mitigating Backdoor Attacks using Activation-Guided Model Editing
Felix Hsieh, Huy H. Nguyen, AprilPyone MaungMaung +2
Backdoor attacks compromise the integrity and reliability of machine learning models by embedding a hidden trigger during the training process, which can later be activated to caus…
Exploring Self-Supervised Vision Transformers for Deepfake Detection: A Comparative Analysis
Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
This paper investigates the effectiveness of self-supervised pre-trained vision transformers (ViTs) compared to supervised pre-trained ViTs and conventional neural networks (ConvNe…
Image-Text Out-Of-Context Detection Using Synthetic Multimodal Misinformation
Fatma Shalabi, Huy H. Nguyen, Hichem Felouat +2
Misinformation has become a major challenge in the era of increasing digital information, requiring the development of effective detection methods. We have investigated a novel app…
Leveraging Chat-Based Large Vision Language Models for Multimodal Out-Of-Context Detection
Fatma Shalabi, Hichem Felouat, Huy H. Nguyen +1
Out-of-context (OOC) detection is a challenging task involving identifying images and texts that are irrelevant to the context in which they are presented. Large vision-language mo…
Fine-Tuning Text-To-Image Diffusion Models for Class-Wise Spurious Feature Generation
AprilPyone MaungMaung, Huy H. Nguyen, Hitoshi Kiya +1
We propose a method for generating spurious features by leveraging large-scale text-to-image diffusion models. Although the previous work detects spurious features in a large-scale…
Surface Normal Estimation with Transformers
Barry Shichen Hu, Siyun Liang, Johannes Paetzold +3
We propose the use of a Transformer to accurately predict normals from point clouds with noise and density variations. Previous learning-based methods utilize PointNet variants to…
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…
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…
Face Forgery Detection Based on Facial Region Displacement Trajectory Series
YuYang Sun, ZhiYong Zhang, Isao Echizen +3
Deep-learning-based technologies such as deepfakes ones have been attracting widespread attention in both society and academia, particularly ones used to synthesize forged face ima…
Analysis of Master Vein Attacks on Finger Vein Recognition Systems
Huy H. Nguyen, Trung-Nghia Le, Junichi Yamagishi +1
Finger vein recognition (FVR) systems have been commercially used, especially in ATMs, for customer verification. Thus, it is essential to measure their robustness against various…
Rethinking Adversarial Examples for Location Privacy Protection
Trung-Nghia Le, Ta Gu, Huy H. Nguyen +1
We have investigated a new application of adversarial examples, namely location privacy protection against landmark recognition systems. We introduce mask-guided multimodal project…
Robust Deepfake On Unrestricted Media: Generation And Detection
Trung-Nghia Le, Huy H Nguyen, Junichi Yamagishi +1
Recent advances in deep learning have led to substantial improvements in deepfake generation, resulting in fake media with a more realistic appearance. Although deepfake media have…
Master Face Attacks on Face Recognition Systems
Huy H. Nguyen, Sébastien Marcel, Junichi Yamagishi +1
Face authentication is now widely used, especially on mobile devices, rather than authentication using a personal identification number or an unlock pattern, due to its convenience…
OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild
Trung-Nghia Le, Huy H. Nguyen, Junichi Yamagishi +1
The proliferation of deepfake media is raising concerns among the public and relevant authorities. It has become essential to develop countermeasures against forged faces in social…
Fashion-Guided Adversarial Attack on Person Segmentation
Marc Treu, Trung-Nghia Le, Huy H. Nguyen +2
This paper presents the first adversarial example based method for attacking human instance segmentation networks, namely person segmentation networks in short, which are harder to…
Generating Master Faces for Use in Performing Wolf Attacks on Face Recognition Systems
Huy H. Nguyen, Junichi Yamagishi, Isao Echizen +1
Due to its convenience, biometric authentication, especial face authentication, has become increasingly mainstream and thus is now a prime target for attackers. Presentation attack…
A Method for Identifying Origin of Digital Images Using a Convolution Neural Network
Rong Huang, Fuming Fang, Huy H. Nguyen +2
The rapid development of deep learning techniques has created new challenges in identifying the origin of digital images because generative adversarial networks and variational aut…
Security of Facial Forensics Models Against Adversarial Attacks
Rong Huang, Fuming Fang, Huy H. Nguyen +2
Deep neural networks (DNNs) have been used in digital forensics to identify fake facial images. We investigated several DNN-based forgery forensics models (FFMs) to examine whether…
Use of a Capsule Network to Detect Fake Images and Videos
Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
The revolution in computer hardware, especially in graphics processing units and tensor processing units, has enabled significant advances in computer graphics and artificial intel…