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Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently



Futa Waseda , Sosuke Nishikawa , Trung-Nghia Le , Huy H. Nguyen , Isao Echizen

* 6 pages, 8 figures 

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Effectiveness of Detection-based and Regression-based Approaches for Estimating Mask-Wearing Ratio



Khanh-Duy Nguyen , Huy H. Nguyen , Trung-Nghia Le , Junichi Yamagishi , Isao Echizen


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Master Face Attacks on Face Recognition Systems



Huy H. Nguyen , Sébastien Marcel , Junichi Yamagishi , Isao Echizen

* This paper is an extension of the IJCB paper published in 2019 (Generating Master Faces for Use in Performing Wolf Attacks on Face Recognition Systems) and its first version was initially submitted to T-BIOM journal on Dec 25, 2020 

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OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild



Trung-Nghia Le , Huy H. Nguyen , Junichi Yamagishi , Isao Echizen

* Accepted to ICCV 2021. Project page: https://sites.google.com/view/ltnghia/research/openforensics 

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Fashion-Guided Adversarial Attack on Person Segmentation



Marc Treu , Trung-Nghia Le , Huy H. Nguyen , Junichi Yamagishi , Isao Echizen

* CVPR Workshops 2021 
* Accepted to Workshop on Media Forensics, CVPR 2021. Project page: https://github.com/nii-yamagishilab/fashion_adv 

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Viable Threat on News Reading: Generating Biased News Using Natural Language Models



Saurabh Gupta , Huy H. Nguyen , Junichi Yamagishi , Isao Echizen

* 11 pages, 4 figures, 6 tables, Accepted at NLP+CSS Workshop at EMNLP 2020 

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Generating Master Faces for Use in Performing Wolf Attacks on Face Recognition Systems



Huy H. Nguyen , Junichi Yamagishi , Isao Echizen , Sébastien Marcel

* Accepted to be Published in Proceedings of the 2020 International Joint Conference on Biometrics (IJCB 2020), Houston, USA 

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Detecting and Correcting Adversarial Images Using Image Processing Operations



Huy H. Nguyen , Minoru Kuribayashi , Junichi Yamagishi , Isao Echizen

* Fixing incorrect results by removing the CNN detector part 

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