Collaboratively Weighting Deep and Classic Representation via $l_2$ Regularization for Image Classification. - Shaoning Zeng; Bob Zhang 001; Yanghao Zhang; Jianping Gou (ACML, 2018)

Generalizing Universal Adversarial Attacks Beyond Additive Perturbations. - Yanghao Zhang; Wenjie Ruan; Fu Wang; Xiaowei Huang 001 (ICDM, 2020)

Dual sparse learning via data augmentation for robust facial image classification. - Shaoning Zeng; Bob Zhang 001; Yanghao Zhang; Jianping Gou (Int. J. Mach. Learn. Cybern., 2020)

Fooling Object Detectors: Adversarial Attacks by Half-Neighbor Masks. - Yanghao Zhang; Fu Wang; Wenjie Ruan (CoRR, 2021)

Gradient-Guided Dynamic Efficient Adversarial Training. - Fu Wang; Yanghao Zhang; Yanbin Zheng; Wenjie Ruan (CoRR, 2021)

Tutorials on Testing Neural Networks. - Nicolas Berthier; Youcheng Sun; Wei Huang 035; Yanghao Zhang; Wenjie Ruan; Xiaowei Huang 001 (CoRR, 2021)

Self-adaptive Adversarial Training for Robust Medical Segmentation. - Fu Wang; Zeyu Fu; Yanghao Zhang; Wenjie Ruan (MICCAI (3), 2023)

Generalizing universal adversarial perturbations for deep neural networks. - Yanghao Zhang; Wenjie Ruan; Fu Wang; Xiaowei Huang 001 (Mach. Learn., 2023)

Reward Certification for Policy Smoothed Reinforcement Learning. - Ronghui Mu; Leandro Soriano Marcolino; Yanghao Zhang; Tianle Zhang; Xiaowei Huang 001; Wenjie Ruan (AAAI, 2024)

UAV Swarm Path Planning Algorithm Based on Starling Flocking. - Ming Zhang; Yi Hu; Xiangchun Liu; Yanghao Zhang; Quan Yi; Wei Song (CSCWD, 2024)

Towards Fairness-Aware Adversarial Learning. - Yanghao Zhang; Tianle Zhang; Ronghui Mu; Xiaowei Huang 001; Wenjie Ruan (CVPR, 2024)

DeepGRE: Global Robustness Evaluation of Deep Neural Networks. - Tianle Zhang; Jiaxu Liu 001; Yanghao Zhang; Ronghui Mu; Wenjie Ruan (ICASSP, 2024)

PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search. - Tianle Zhang; Yanghao Zhang; Ronghui Mu; Jiaxu Liu 001; Jonathan E. Fieldsend; Wenjie Ruan (IJCAI, 2024)

Safeguarding Large Language Models: A Survey. - Yi Dong 002; Ronghui Mu; Yanghao Zhang; Siqi Sun; Tianle Zhang; Changshun Wu; Gaojie Jin; Yi Qi; Jinwei Hu; Jie Meng; Saddek Bensalem; Xiaowei Huang 001 (CoRR, 2024)

Lightweight diffusion models: a survey. - Wei Song; Wen Ma; Ming Zhang; Yanghao Zhang; Xiaobing Zhao (Artif. Intell. Rev., 2024)

A survey of safety and trustworthiness of large language models through the lens of verification and validation. - Xiaowei Huang 001; Wenjie Ruan; Wei Huang 035; Gaojie Jin; Yi Dong 002; Changshun Wu; Saddek Bensalem; Ronghui Mu; Yi Qi; Xingyu Zhao 001; Kaiwen Cai; Yanghao Zhang; et al. (Artif. Intell. Rev., 2024)

A Black-Box Evaluation Framework for Semantic Robustness in Bird's Eye View Detection. - Fu Wang; Yanghao Zhang; Xiangyu Yin 001; Guangliang Cheng; Zeyu Fu; Xiaowei Huang 001; Wenjie Ruan (AAAI, 2025)

Usability of Pseudo-Haptic Feedback for Manual Precise Manipulation of Objects in Augmented Reality. - Yunfei Qin; Weiping He; Xiaotian Zhang; Mark Billinghurst; Yanghao Zhang; Jiepeng Dong (Int. J. Hum. Comput. Interact., 2025)

Never Compromise to Vulnerabilities: A Comprehensive Survey on AI Governance. - Yuchu Jiang; Jian Zhao; Yuchen Yuan; Tianle Zhang; Yao Huang; Yanghao Zhang; Yan Wang; Yanshu Li; Xizhong Guo; Yusheng Zhao; Jun Zhang; Zhi Zhang; et al. (CoRR, 2025)