Universal Adversarial Perturbations of Malware. - Ruitao Hou; Xiaoyu Xiang; Qixiang Zhang; Jiabao Liu; Teng Huang 001 (CSS, 2020)

Adversarial attacks on deep-learning-based SAR image target recognition. - Teng Huang 001; Qixiang Zhang; Jiabao Liu; Ruitao Hou; Xianmin Wang; Ya Li (J. Netw. Comput. Appl., 2020)

A Graded Reversible Watermarking Scheme for Relational Data. - Ruitao Hou; Hequn Xian (Mob. Networks Appl., 2021)

Highsimb: A Concrete Blockchain High Simulation with Contract Vulnerability Detection for Ethereum and Hyperledger Fabric. - Pengfei Huang; Wanqing Jie; Arthur Sandor Voundi Koe; Ruitao Hou; Hongyang Yan; Mourad Nouioua; Phan Duc Thien; Jacques Mbous Ikong; Camara Lancine (ML4CS (2), 2022)

An effective and practical gradient inversion attack. - Zeren Luo; Chuangwei Zhu; Lujie Fang; Guang Kou; Ruitao Hou; Xianmin Wang (Int. J. Intell. Syst., 2022)

Towards explainable model extraction attacks. - Anli Yan; Ruitao Hou; Xiaozhang Liu; Hongyang Yan; Teng Huang 001; Xianmin Wang (Int. J. Intell. Syst., 2022)

Privacy-preserving image retrieval in a distributed environment. - Fucai Zhou; Shiyue Qin; Ruitao Hou; Zongye Zhang 001 (Int. J. Intell. Syst., 2022)

Similarity-based integrity protection for deep learning systems. - Ruitao Hou; Shan Ai; Qi Chen 024; Hongyang Yan; Teng Huang 001; Kongyang Chen (Inf. Sci., 2022)

A Universal Detection Method for Adversarial Examples and Fake Images. - Jiewei Lai; Yantong Huo; Ruitao Hou; Xianmin Wang (Sensors, 2022)

ELAA: An efficient local adversarial attack using model interpreters. - Shangwei Guo; Siyuan Geng; Tao Xiang 001; Hangcheng Liu; Ruitao Hou (Int. J. Intell. Syst., 2022)

Transfer subspace learning via label release and contribution degree distinction. - Xiaojin Fan; Ruitao Hou; Lei Chen; Liehuang Zhu; Jingjing Hu (Inf. Sci., 2023)

A stealthy and robust backdoor attack via frequency domain transform. - Ruitao Hou; Teng Huang 001; Hongyang Yan; Lishan Ke; Weixuan Tang (World Wide Web (WWW), 2023)

Explanation-based data-free model extraction attacks. - Anli Yan; Ruitao Hou; Hongyang Yan; Xiaozhang Liu (World Wide Web (WWW), 2023)

Exploring the vulnerability of self-supervised monocular depth estimation models. - Ruitao Hou; Kanghua Mo; Yucheng Long; Ning Li; Yuan Rao 002 (Inf. Sci., 2024)

Bag of tricks for backdoor learning. - Ruitao Hou; Anli Yan; Hongyang Yan; Teng Huang 001 (Wirel. Networks, 2024)

Boundary Attention-Guided Sparse Feature Learning for Underwater Object Tracking in Edge Computing. - Hongyi Qiu; Ning Li; Pengfei Li; Ruitao Hou; Yuting Zhang; Yun Peng 002 (ACM Trans. Multim. Comput. Commun. Appl., 2025)