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Detect and Defense Against Adversarial Examples in Deep Learning using Natural Scene Statistics and Adaptive Denoising


Jul 12, 2021
Anouar Kherchouche, Sid Ahmed Fezza, Wassim Hamidouche


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NTIRE 2021 Challenge on Perceptual Image Quality Assessment


May 11, 2021
Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte, Manri Cheon, Sungjun Yoon, Byungyeon Kang, Junwoo Lee, Qing Zhang, Haiyang Guo, Yi Bin, Yuqing Hou, Hengliang Luo, Jingyu Guo, Zirui Wang, Hai Wang, Wenming Yang, Qingyan Bai, Shuwei Shi, Weihao Xia, Mingdeng Cao, Jiahao Wang, Yifan Chen, Yujiu Yang, Yang Li, Tao Zhang, Longtao Feng, Yiting Liao, Junlin Li, William Thong, Jose Costa Pereira, Ales Leonardis, Steven McDonagh, Kele Xu, Lehan Yang, Hengxing Cai, Pengfei Sun, Seyed Mehdi Ayyoubzadeh, Ali Royat, Sid Ahmed Fezza, Dounia Hammou, Wassim Hamidouche, Sewoong Ahn, Gwangjin Yoon, Koki Tsubota, Hiroaki Akutsu, Kiyoharu Aizawa


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Adversarial Example Detection for DNN Models: A Review


May 01, 2021
Ahmed Aldahdooh, Wassim Hamidouche, Sid Ahmed Fezza, Olivier Deforges

* Preprint, submitted to Artificial Intelligence Review journal 

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Light Field Image Coding Using VVC standard and View Synthesis based on Dual Discriminator GAN


Mar 06, 2021
Nader Bakir, Wassim Hamidouche, Sid Ahmed Fezza, Khouloud Samrouth, Olivier Deforges


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Perceptual Evaluation of Adversarial Attacks for CNN-based Image Classification


Jun 01, 2019
Sid Ahmed Fezza, Yassine Bakhti, Wassim Hamidouche, Olivier Déforges

* Eleventh International Conference on Quality of Multimedia Experience (QoMEX 2019) 

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