Hangcheng Liu

According to our database, Hangcheng Liu authored at least 33 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

DECEIVE-AFC: Adversarial Claim Attacks against Search-Enabled LLM-based Fact-Checking Systems.

Haoran Ou, Kangjie Chen, Gelei Deng, Hangcheng Liu, Jie Zhang, Tianwei Zhang, Kwok-Yan Lam

CoRR, February, 2026

On the Adversarial Robustness of Large Vision-Language Models under Visual Token Compression.

Xinwei Zhang, Hangcheng Liu, Li Bai, Hao Wang, Qingqing Ye, Tianwei Zhang, Haibo Hu

CoRR, January, 2026

Physical Prompt Injection Attacks on Large Vision-Language Models.

Chen Ling, Kai Hu, Hangcheng Liu, Xingshuo Han, Tianwei Zhang, Changhai Ou

CoRR, January, 2026

Making Theft Useless: Adulteration-Based Protection of Proprietary Knowledge Graphs in GraphRAG Systems.

Weijie Wang, Peizhuo Lv, Yan Wang, Rujie Dai, Guokun Xu, Qiujian Lv, Hangcheng Liu, Weiqing Huang, Wei Dong, Jiaheng Zhang

CoRR, January, 2026

ShadeEdit: A Utility-Preserving and Defense-Evasive Knowledge Manipulation Attack in Federated LLMs.

Xu Zhang, Hangcheng Liu, Shangwei Guo, Shudong Zhang, Tianwei Zhang, Tao Xiang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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, Tianwei Zhang

CoRR, June, 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, Shengmin Xu, Changhai Ou, Xinyi Huang, Tianwei Zhang

CoRR, June, 2025

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., January, 2025

Stealthiness Assessment of Adversarial Perturbation: From a Visual Perspective.

Hangcheng Liu, Yuan Zhou, Ying Yang, Qingchuan Zhao, Tianwei Zhang, Tao Xiang

IEEE Trans. Inf. Forensics Secur., 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, Zhenyu Yue

J. Chem. Inf. Model., 2025

Model Supply Chain Poisoning: Backdooring Pre-trained Models via Embedding Indistinguishability.

Hao Wang, Shangwei Guo, Jialing He, Hangcheng Liu, Tianwei Zhang, Tao Xiang

Proceedings of the ACM on Web Conference 2025, 2025

FusionDisassembler: A Cross-Device Approach for Effective Instruction Disassembly in Side-Channel Attacks.

Chen Ling, Jinyuan Zhang, Ouchang Hai, Hangcheng Liu, Xingshuo Han

Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

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

TransTroj: Transferable Backdoor Attacks to Pre-trained Models via Embedding Indistinguishability.

Hao Wang, Tao Xiang, Shangwei Guo, Jialing He, Hangcheng Liu, Tianwei Zhang

CoRR, 2024

Beware of Road Markings: A New Adversarial Patch Attack to Monocular Depth Estimation.

Hangcheng Liu, Zhenhu Wu, Hao Wang, Xingshuo Han, Shangwei Guo, Tao Xiang, Tianwei Zhang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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, Tianwei Zhang

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

Evolutionary architecture search via adaptive parameter control and gene potential contribution.

Ronghua Shang, Songling Zhu, Hangcheng Liu, Teng Ma, Weitong Zhang, Jie Feng, Licheng Jiao, Rustam Stolkin

Swarm Evol. Comput., October, 2023

Towards Query-Efficient Black-Box Attacks: A Universal Dual Transferability-Based Framework.

Tao Xiang, Hangcheng Liu, Shangwei Guo, Yan Gan, Wenjian He, Xiaofeng Liao

ACM Trans. Intell. Syst. Technol., August, 2023

Generative adversarial networks with adaptive learning strategy for noise-to-image synthesis.

Yan Gan, Tao Xiang, Hangcheng Liu, Mao Ye, Mingliang Zhou

Neural Comput. Appl., March, 2023

Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity Deep Hiding.

Hangcheng Liu, Tao Xiang, Shangwei Guo, Han Li, Tianwei Zhang, Xiaofeng Liao

IEEE Trans. Inf. Forensics Secur., 2023

Learning-aware feature denoising discriminator.

Yan Gan, Tao Xiang, Hangcheng Liu, Mao Ye

Inf. Fusion, 2023

Smaller Is Bigger: Rethinking the Embedding Rate of Deep Hiding.

Han Li, Hangcheng Liu, Shangwei Guo, Mingliang Zhou, Ning Wang, Tao Xiang, Tianwei Zhang

CoRR, 2023

Contrastive Fusion Representation: Mitigating Adversarial Attacks on VQA Models.

Jialing He, Zhen Qin, Hangcheng Liu, Shangwei Guo, Biwen Chen, Ning Wang, Tao Xiang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

ELAA: An efficient local adversarial attack using model interpreters.

Shangwei Guo, Siyuan Geng, Tao Xiang, Hangcheng Liu, Ruitao Hou

Int. J. Intell. Syst., December, 2022

EGM: An Efficient Generative Model for Unrestricted Adversarial Examples.

Tao Xiang, Hangcheng Liu, Shangwei Guo, Yan Gan, Xiaofeng Liao

ACM Trans. Sens. Networks, November, 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

Text's Armor: Optimized Local Adversarial Perturbation Against Scene Text Editing Attacks.

Tao Xiang, Hangcheng Liu, Shangwei Guo, Hantao Liu, Tianwei Zhang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

Convolutional Neural Network for Visual Security Evaluation.

Ying Yang, Tao Xiang, Hangcheng Liu, Xiaofeng Liao

IEEE Trans. Circuits Syst. Video Technol., 2021

PEEL: A Provable Removal Attack on Deep Hiding.

Tao Xiang, Hangcheng Liu, Shangwei Guo, Tianwei Zhang

CoRR, 2021

Local Black-box Adversarial Attacks: A Query Efficient Approach.

Tao Xiang, Hangcheng Liu, Shangwei Guo, Tianwei Zhang, Xiaofeng Liao

CoRR, 2021

PRNet: A Progressive Recovery Network for Revealing Perceptually Encrypted Images.

Tao Xiang, Ying Yang, Shangwei Guo, Hangcheng Liu, Hantao Liu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Teacher-Supervised Generative Adversarial Networks.

Yan Gan, Tao Xiang, Hangcheng Liu, Mao Ye, Dan Liu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020

Visual Security Evaluation of Perceptually Encrypted Images Based on Image Importance.

Tao Xiang, Ying Yang, Hangcheng Liu, Shangwei Guo

IEEE Trans. Circuits Syst. Video Technol., 2020