Visual Security Evaluation of Perceptually Encrypted Images Based on Image Importance. - Tao Xiang 001; Ying Yang 019; Hangcheng Liu; Shangwei Guo (IEEE Trans. Circuits Syst. Video Technol., 2020)

Teacher-Supervised Generative Adversarial Networks. - Yan Gan; Tao Xiang 001; Hangcheng Liu; Mao Ye 001; Dan Liu (ICME, 2021)

PRNet: A Progressive Recovery Network for Revealing Perceptually Encrypted Images. - Tao Xiang 001; Ying Yang 019; Shangwei Guo; Hangcheng Liu; Hantao Liu (ACM Multimedia, 2021)

Local Black-box Adversarial Attacks: A Query Efficient Approach. - Tao Xiang 001; Hangcheng Liu; Shangwei Guo; Tianwei Zhang 004; Xiaofeng Liao 001 (CoRR, 2021)

PEEL: A Provable Removal Attack on Deep Hiding. - Tao Xiang 001; Hangcheng Liu; Shangwei Guo; Tianwei Zhang 004 (CoRR, 2021)

Convolutional Neural Network for Visual Security Evaluation. - Ying Yang 019; Tao Xiang 001; Hangcheng Liu; Xiaofeng Liao 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Text's Armor: Optimized Local Adversarial Perturbation Against Scene Text Editing Attacks. - Tao Xiang 001; Hangcheng Liu; Shangwei Guo; Hantao Liu; Tianwei Zhang 004 (ACM Multimedia, 2022)

Evolutionary neural architecture search based on evaluation correction and functional units. - Ronghua Shang; Songling Zhu; Jinhong Ren; Hangcheng Liu; Licheng Jiao (Knowl. Based Syst., 2022)

EGM: An Efficient Generative Model for Unrestricted Adversarial Examples. - Tao Xiang 001; Hangcheng Liu; Shangwei Guo; Yan Gan; Xiaofeng Liao 001 (ACM Trans. Sens. Networks, 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)

Contrastive Fusion Representation: Mitigating Adversarial Attacks on VQA Models. - Jialing He; Zhen Qin; Hangcheng Liu; Shangwei Guo; Biwen Chen; Ning Wang 003; Tao Xiang 001 (ICME, 2023)

Smaller Is Bigger: Rethinking the Embedding Rate of Deep Hiding. - Han Li; Hangcheng Liu; Shangwei Guo; Mingliang Zhou 001; Ning Wang 003; Tao Xiang 001; Tianwei Zhang 004 (CoRR, 2023)

Learning-aware feature denoising discriminator. - Yan Gan; Tao Xiang 001; Hangcheng Liu; Mao Ye 001 (Inf. Fusion, 2023)

Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity Deep Hiding. - Hangcheng Liu; Tao Xiang 001; Shangwei Guo; Han Li; Tianwei Zhang 004; Xiaofeng Liao 001 (IEEE Trans. Inf. Forensics Secur., 2023)

Generative adversarial networks with adaptive learning strategy for noise-to-image synthesis. - Yan Gan; Tao Xiang 001; Hangcheng Liu; Mao Ye 001; Mingliang Zhou 001 (Neural Comput. Appl., 2023)

Towards Query-Efficient Black-Box Attacks: A Universal Dual Transferability-Based Framework. - Tao Xiang 001; Hangcheng Liu; Shangwei Guo; Yan Gan; Wenjian He; Xiaofeng Liao 001 (ACM Trans. Intell. Syst. Technol., 2023)

Evolutionary architecture search via adaptive parameter control and gene potential contribution. - Ronghua Shang; Songling Zhu; Hangcheng Liu; Teng Ma; Weitong Zhang; Jie Feng 003; Licheng Jiao; Rustam Stolkin (Swarm Evol. Comput., 2023)

VisionGuard: Secure and Robust Visual Perception of Autonomous Vehicles in Practice. - Xingshuo Han; Haozhao Wang; Kangqiao Zhao; Gelei Deng; Yuan Xu; Hangcheng Liu; Han Qiu 001; Tianwei Zhang 004 (CCS, 2024)

Beware of Road Markings: A New Adversarial Patch Attack to Monocular Depth Estimation. - Hangcheng Liu; Zhenhu Wu; Hao Wang 003; Xingshuo Han; Shangwei Guo; Tao Xiang 001; Tianwei Zhang 004 (NeurIPS, 2024)

RiceSNP-ABST: a deep learning approach to identify abiotic stress-associated single nucleotide polymorphisms in rice. - Quan Lu; Jiajun Xu; Renyi Zhang; Hangcheng Liu; Meng Wang; Xiaoshuang Liu; Zhenyu Yue; Yujia Gao (Briefings Bioinform., 2024)

TransTroj: Transferable Backdoor Attacks to Pre-trained Models via Embedding Indistinguishability. - Hao Wang 003; Tao Xiang 001; Shangwei Guo; Jialing He; Hangcheng Liu; Tianwei Zhang 004 (CoRR, 2024)

An efficient evolutionary architecture search for variational autoencoder with alternating optimization and adaptive crossover. - Ronghua Shang; Hangcheng Liu; Wenzheng Li; Weitong Zhang; Teng Ma; Licheng Jiao (Swarm Evol. Comput., 2024)

Model Supply Chain Poisoning: Backdooring Pre-trained Models via Embedding Indistinguishability. - Hao Wang 003; Shangwei Guo; Jialing He; Hangcheng Liu; Tianwei Zhang 004; Tao Xiang 001 (WWW, 2025)

deep-AMPpred: A Deep Learning Method for Identifying Antimicrobial Peptides and Their Functional Activities. - Jun Zhao; Hangcheng Liu; Leyao Kang; Wanling Gao; Quan Lu; Yuan Rao 003; Zhenyu Yue (J. Chem. Inf. Model., 2025)

Stealthiness Assessment of Adversarial Perturbation: From a Visual Perspective. - Hangcheng Liu; Yuan Zhou 005; Ying Yang 019; Qingchuan Zhao; Tianwei Zhang 004; Tao Xiang 001 (IEEE Trans. Inf. Forensics Secur., 2025)

One Patch to Rule Them All: Transforming Static Patches into Dynamic Attacks in the Physical World. - Xingshuo Han; Chen Ling; Shiyi Yao; Haozhao Wang; Hangcheng Liu; Yutong Wu 009; Shengmin Xu; Changhai Ou; Xinyi Huang 001; Tianwei Zhang 004 (CoRR, 2025)

Optimization-Free Patch Attack on Stereo Depth Estimation. - Hangcheng Liu; Xu Kuang; Xingshuo Han; Xingwan Wu; Haoran Ou; Shangwei Guo; Xingyi Huang; Tao Xiang 001; Tianwei Zhang 004 (CoRR, 2025)