論文 - 馬場口　登

Paladin: Understanding Video Intentions in Political Advertisement Videos 査読

1. Hong Liu, Yuta Nakashima, Noboru Babaguchi

Proc. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)   2025年2月

Enhancing Fake News Detection in Social Media via Label Propagation on Cross-modal Tweet Graph 査読 国際共著 国際誌

Wanqing Zhao,Yuta Nakashima, Haiyuan Chen, Noboru Babaguchi

Proceedings of the 31st ACM International Conference on Multimedia   2400 - 2408   2023年10月

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Fake news detection in social media has become increasingly important due to the rapid proliferation of personal media channels and the consequential dissemination of misleading information. Our method constructs a cross-modal tweet graph using CLIP, which encodes images and text into a unified space, allowing us to extract potential connections based on similarities in text and images. We then design a Feature Contextualization Network with Label Propagation (FCN-LP) to model the interaction among tweets as well as positive or negative correlations between predicted labels of connected tweets. The propagated labels from the graph are weighted and aggregated for the final detection. To enhance the model’s generalization ability to unseen events, we
introduce a domain generalization loss that ensures consistent features between tweets on seen and unseen events. We use three publicly available fake news datasets, Twitter, PHEME, and Weibo, for evaluation. Our method consistently improves the performance
over the state-of-the-art methods on all benchmark datasets and effectively demonstrates its aptitude for generalizing fake news detection in social media.

An Experimental Consideration on Gait Spoofing 査読

Y. Hirose, K. Nakamura, N. Nitta, and N. Babaguchi

Proc International Conference on Computer Vision Theory and Applications (VISAPP2023)   (8)   2023年2月

Social IoT Approach to Cyber Defense of a Deep-Learning-Based Recognition System in Front of Media Clones Generated by Model Inversion Attack 査読 国際共著

Mahdi Khosravy, Kazuaki Nakamura, Naoko Nitta, Nilanjan Dey, Rubén González Crespo, Enrique Herrera-Viedma, and Noboru Babaguchi

IEEE Trans Systems, Man, and Cybernetics: Systems   (11)   2022年11月

Anonymization of Human Gait in Video Based on Silhouette Deformation and Texture Transfer 査読 国際誌

Yuki Hirose, Kazuaki Nakamura, Naoko Nitta, and Noboru Babaguchi

IEEE Trans. Information Forensics and Security   17   3375 - 3390   2022年9月

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This paper proposes a method for anonymizing the appearance of walking people, namely human gait, in video. In the proposed method, we first crop human regions from all frames in an input video and binarize them to get their silhouettes. Next, we slightly deform the silhouettes from the aspects of static body shape and dynamic walking rhythm so that the person in the input video cannot be correctly identified by gait recognition techniques. After that, the textures of the original human regions are transferred onto the deformed silhouettes. Finally, the anonymized human regions with the transferred textures are filled back into the input video. In the results of our experiments, we successfully degraded the accuracy of CNN-based gait recognition systems from 100% to 1.57% in the lowest case without yielding serious distortion in the appearance of the human regions, which demonstrated the effectiveness of the proposed method.

Effective De-identification Generative Adversarial Network for Face Anonymization 査読

Z. Kuang, H. Liu, J. Yu, A. Tian, L. Wang, J. Fan, N. Babaguchi

Proc. of 29th ACM International Conference on Multimedia   3182 - 3192   2021年10月

Unnoticeable synthetic face replacement for image privacy protection 査読

Z. Kuang, Z. Guo, J. Fang, J. Yu, N. Babaguchi, J. Fan

Neurocomputing   457   322 - 333   2021年10月

Model Inversion Attack: Analysis under Gray-box Scenario on Deep Learning based Face Recognition System 査読

M. Khosravy, K. Nakamura, Y. Hirose, N. Nitta, N. Babaguchi

KSII Transactions on Internet and Information Systems   15 ( 3 )   1100 - 1118   2021年3月

Generation and Detection of Media Clones 招待 査読

I. Echizen, N. Babaguchi, J. Yamagishi, N. Nitta, Y. Nakashima, K. Nakamura, K. Kono, F. Fang, S. Myojin, Z. Kuang, H. H. Nguyen, N-D. T. Tieu

IEICE Transactions on Information and Systems   E104-D ( 1 )   12 - 23   2021年1月

Preventing Fake Information Generation Against Media Clone Attacks 招待 査読

N. Babaguchi, I. Echizen, J. Yamagishi, N. Nitta, Y. Nakashima, K. Nakamura, K. Kono, F. Fang, S. Myojin, Z. Kuang, H. H. Nguyen, N-D. T. Tieu

IEICE Transactions on Information and Systems   E104-D ( 1 )   2 - 11   2021年1月

Semi-Supervised Outdoor Image Generation Conditioned on Weather Signals 査読

S. Kawakami, K. Okada, N. Nitta, K. Nakamura, N. Babaguchi

Proc. of International Conference on Pattern Recognition (ICPR2021)   4268 - 4275   2021年1月

Deep Face Recognizer Privacy Attack: Model Inversion Initialization by a Deep Generative Adversarial Data Space Discriminator 査読

M. Khosravy, K. Nakamura, N. Nitta, N. Babaguchi

Proc. of a-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2020)   1400 - 1405   2020年12月

Detection of Cloned Recognizers: A Defending Method against Recognizer Cloning Attack 査読

Y. Mori, K. Nakamura, N. Nitta, N. Babaguchi

Proc. of a-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2020)   1375 - 1380   2020年12月

［解説］工学研究科アップデート 招待

馬場口登

生産と技術、巻頭言   72 ( 3 )   1 - 2   2020年8月

［招待インタラクティブ発表］画像認識モデルからの情報流出の可能性とその対処法に関する検討 招待 査読

中村和晃, 森勇登, 廣瀬雄基, M. Khosravy, 新田直子, 馬場口登

第26回画像センシングシンポジウム(SSII)   8 pages   2020年6月

Constructing Geospatial Concept Graphs from Tagged Images for Geo-Aware Fine-Grained Image Recognition 査読

N. Nitta, K. Nakamura, N. Babaguchi

9 ( 6 )   Article No. 354 - 23 pages   2020年5月

Probabilistic Stone’s Blind Source Separation with application to channel estimation and multi-node identification in MIMO IoT green communication and multimedia systems 査読

M. Khosravy, N. Gupta, N. Patel, N. Dey, N. Nitta, N. Babaguchi

Computer Communications, Elsevier   157   423 - 433   2020年5月

［解説］時をかけるメディア 招待

馬場口登

映像情報メディア学会誌、ふぉーかす   74 ( 3 )   1page   2020年5月

A logical consideration on fraudulent email communication 査読

S. Myojin, N. Babaguchi

ARTIFICIAL LIFE AND ROBOTICS   25 ( 3 )   7pages   2020年3月

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One of the most serious problems in modern society is that internet users are deceived by various fake information. In this paper, we analyse a scenario based on an actual incident of fraud called business email compromise (BEC). We suppose that each email, in the incident, step-wisely changes user's thinking and makes him or her believe the emails. If fraud has such a step-by-step mechanism, it allows us to consider counter measures for dissuading a user from decision-making on the way. We discuss features and factors of the incident based on formulations of Channel theory. Our analysis revealed that each email message influenced user's decision-making by what kind of logical trap. It can be fundamental knowledge that is capable of warning the user with predicting logical traps. This paper contributes to providing a novel viewpoint to develop systems for detecting deception of BEC.

［解説］REALかFAKEか 招待

馬場口登

情報・システムソサエティ誌、巻頭言   24 ( 4 )   3 - 3   2020年2月