NTIRE 2023 Quality Assessment of Video Enhancement Challenge. - Xiaohong Liu 001; Xiongkuo Min; Wei Sun 029; Yulun Zhang 001; Kai Zhang 008; Radu Timofte; Guangtao Zhai; Yixuan Gao; Yuqin Cao; Tengchuan Kou; Yunlong Dong; Ziheng Jia; et al. (CVPR Workshops, 2023)

Evaluating the Vulnerability of Deep Learning-based Image Quality Assessment Methods to Adversarial Attacks. - Hanene Brachemi Meftah; Sid Ahmed Fezza; Wassim Hamidouche; Olivier Déforges (EUVIP, 2023)

NTIRE 2023 Quality Assessment of Video Enhancement Challenge. - Xiaohong Liu 001; Xiongkuo Min; Wei Sun 029; Yulun Zhang 001; Kai Zhang 008; Radu Timofte; Guangtao Zhai; Yixuan Gao; Yuqin Cao; Tengchuan Kou; Yunlong Dong; Ziheng Jia; et al. (CoRR, 2023)

2BiVQA: Double Bi-LSTM-based Video Quality Assessment of UGC Videos. - Ahmed Telili; Sid Ahmed Fezza; Wassim Hamidouche; Hanene Brachemi Meftah (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Energy Backdoor Attack to Deep Neural Networks. - Hanene F. Z. Brachemi Meftah; Wassim Hamidouche; Sid Ahmed Fezza; Olivier Déforges; Kassem Kallas (ICASSP, 2025)

Energy-Latency Attacks: A New Adversarial Threat to Deep Learning. - Hanene F. Z. Brachemi Meftah; Wassim Hamidouche; Sid Ahmed Fezza; Olivier Déforges (CoRR, 2025)

VIP: Visual Information Protection through Adversarial Attacks on Vision-Language Models. - Hanene F. Z. Brachemi Meftah; Wassim Hamidouche; Sid Ahmed Fezza; Olivier Déforges (CoRR, 2025)