Fake News Detection via Knowledge-driven Multimodal Graph Convolutional Networks. - Youze Wang; Shengsheng Qian; Jun Hu 016; Quan Fang; Changsheng Xu (ICMR, 2020)

Efficient Graph Deep Learning in TensorFlow with tf_geometric. - Jun Hu 016; Shengsheng Qian; Quan Fang; Youze Wang; Quan Zhao; Huaiwen Zhang; Changsheng Xu (ACM Multimedia, 2021)

Exploring Transferability of Multimodal Adversarial Samples for Vision-Language Pre-training Models with Contrastive Learning. - Youze Wang; Wenbo Hu 001; Yinpeng Dong; Richang Hong (CoRR, 2023)

Iterative Adversarial Attack on Image-Guided Story Ending Generation. - Youze Wang; Wenbo Hu 001; Richang Hong (IEEE Trans. Multim., 2024)

Joint Adversarial Purification: Mitigating the Threat of Multimodal Adversarial Examples. - Qin Li; Youze Wang; Wenbo Hu 001; Richang Hong (ICMR, 2025)

Making Strides Security in Multimodal Fake News Detection Models: A Comprehensive Analysis of Adversarial Attacks. - Jiahua Si; Youze Wang; Wenbo Hu 001; Qiang Liu 006; Richang Hong (MMM (2), 2025)

Understanding and Benchmarking the Trustworthiness in Multimodal LLMs for Video Understanding. - Youze Wang; Zijun Chen 001; Ruoyu Chen; Shishen Gu; Yinpeng Dong; Hang Su 006; Jun Zhu 001; Meng Wang 001; Richang Hong; Wenbo Hu 001 (CoRR, 2025)

Align Is Not Enough: Multimodal Universal Jailbreak Attack Against Multimodal Large Language Models. - Youze Wang; Wenbo Hu 001; Yinpeng Dong; Jing Liu 001; Hanwang Zhang; Richang Hong (IEEE Trans. Circuits Syst. Video Technol., 2025)