Hangcheng Liu - RankMe

34 papers A* 6A 2B 1Journal 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DECEIVE-AFC: Adversarial Claim Attacks against Search-Enabled LLM-based Fact-Checking Systems. CoRR Haoran Ou, Kangjie Chen, Gelei Deng, Hangcheng Liu, Jie Zhang, Tianwei Zhang, Kwok-Yan Lam
2026	J	`jnl`	Making Theft Useless: Adulteration-Based Protection of Proprietary Knowledge Graphs in GraphRAG Systems. CoRR Weijie Wang, Peizhuo Lv, Yan Wang, Rujie Dai, Guokun Xu, Qiujian Lv, Hangcheng Liu, Weiqing Huang, Wei Dong, Jiaheng Zhang
2026	J	`jnl`	On the Adversarial Robustness of Large Vision-Language Models under Visual Token Compression. CoRR Xinwei Zhang, Hangcheng Liu, Li Bai, Hao Wang, Qingqing Ye, Tianwei Zhang, Haibo Hu
2026	J	`jnl`	Physical Prompt Injection Attacks on Large Vision-Language Models. CoRR Chen Ling, Kai Hu, Hangcheng Liu, Xingshuo Han, Tianwei Zhang, Changhai Ou
2026	A*	`conf`	ShadeEdit: A Utility-Preserving and Defense-Evasive Knowledge Manipulation Attack in Federated LLMs. AAAI Xu Zhang, Hangcheng Liu, Shangwei Guo, Shudong Zhang, Tianwei Zhang, Tao Xiang
2025	B	`conf`	FusionDisassembler: A Cross-Device Approach for Effective Instruction Disassembly in Side-Channel Attacks. ICPADS Chen Ling, Jinyuan Zhang, Ouchang Hai, Hangcheng Liu, Xingshuo Han
2025	A*	`conf`	Model Supply Chain Poisoning: Backdooring Pre-trained Models via Embedding Indistinguishability. WWW Hao Wang, Shangwei Guo, Jialing He, Hangcheng Liu, Tianwei Zhang, Tao Xiang
2025	J	`jnl`	One Patch to Rule Them All: Transforming Static Patches into Dynamic Attacks in the Physical World. CoRR Xingshuo Han, Chen Ling, Shiyi Yao, Haozhao Wang, Hangcheng Liu, Yutong Wu, Shengmin Xu, Changhai Ou, Xinyi Huang, Tianwei Zhang
2025	J	`jnl`	Optimization-Free Patch Attack on Stereo Depth Estimation. CoRR Hangcheng Liu, Xu Kuang, Xingshuo Han, Xingwan Wu, Haoran Ou, Shangwei Guo, Xingyi Huang, Tao Xiang, Tianwei Zhang
2025	J	`jnl`	RiceSNP-ABST: a deep learning approach to identify abiotic stress-associated single nucleotide polymorphisms in rice. Briefings Bioinform. Quan Lu, Jiajun Xu, Renyi Zhang, Hangcheng Liu, Meng Wang, Xiaoshuang Liu, Zhenyu Yue, Yujia Gao
2025	J	`jnl`	Stealthiness Assessment of Adversarial Perturbation: From a Visual Perspective. IEEE Trans. Inf. Forensics Secur. Hangcheng Liu, Yuan Zhou, Ying Yang, Qingchuan Zhao, Tianwei Zhang, Tao Xiang
2025	J	`jnl`	deep-AMPpred: A Deep Learning Method for Identifying Antimicrobial Peptides and Their Functional Activities. J. Chem. Inf. Model. Jun Zhao, Hangcheng Liu, Leyao Kang, Wanling Gao, Quan Lu, Yuan Rao, Zhenyu Yue
2024	J	`jnl`	An efficient evolutionary architecture search for variational autoencoder with alternating optimization and adaptive crossover. Swarm Evol. Comput. Ronghua Shang, Hangcheng Liu, Wenzheng Li, Weitong Zhang, Teng Ma, Licheng Jiao
2024	A*	`conf`	Beware of Road Markings: A New Adversarial Patch Attack to Monocular Depth Estimation. NeurIPS Hangcheng Liu, Zhenhu Wu, Hao Wang, Xingshuo Han, Shangwei Guo, Tao Xiang, Tianwei Zhang
2024	J	`jnl`	TransTroj: Transferable Backdoor Attacks to Pre-trained Models via Embedding Indistinguishability. CoRR Hao Wang, Tao Xiang, Shangwei Guo, Jialing He, Hangcheng Liu, Tianwei Zhang
2024	A*	`conf`	VisionGuard: Secure and Robust Visual Perception of Autonomous Vehicles in Practice. CCS Xingshuo Han, Haozhao Wang, Kangqiao Zhao, Gelei Deng, Yuan Xu, Hangcheng Liu, Han Qiu, Tianwei Zhang
2023	A	`conf`	Contrastive Fusion Representation: Mitigating Adversarial Attacks on VQA Models. ICME Jialing He, Zhen Qin, Hangcheng Liu, Shangwei Guo, Biwen Chen, Ning Wang, Tao Xiang
2023	J	`jnl`	Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity Deep Hiding. CoRR Hangcheng Liu, Tao Xiang, Shangwei Guo, Han Li, Tianwei Zhang, Xiaofeng Liao
2023	J	`jnl`	Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity Deep Hiding. IEEE Trans. Inf. Forensics Secur. Hangcheng Liu, Tao Xiang, Shangwei Guo, Han Li, Tianwei Zhang, Xiaofeng Liao
2023	J	`jnl`	Evolutionary architecture search via adaptive parameter control and gene potential contribution. Swarm Evol. Comput. Ronghua Shang, Songling Zhu, Hangcheng Liu, Teng Ma, Weitong Zhang, Jie Feng, Licheng Jiao, Rustam Stolkin
2023	J	`jnl`	Generative adversarial networks with adaptive learning strategy for noise-to-image synthesis. Neural Comput. Appl. Yan Gan, Tao Xiang, Hangcheng Liu, Mao Ye, Mingliang Zhou
2023	J	`jnl`	Learning-aware feature denoising discriminator. Inf. Fusion Yan Gan, Tao Xiang, Hangcheng Liu, Mao Ye
2023	J	`jnl`	Smaller Is Bigger: Rethinking the Embedding Rate of Deep Hiding. CoRR Han Li, Hangcheng Liu, Shangwei Guo, Mingliang Zhou, Ning Wang, Tao Xiang, Tianwei Zhang
2023	J	`jnl`	Towards Query-Efficient Black-Box Attacks: A Universal Dual Transferability-Based Framework. ACM Trans. Intell. Syst. Technol. Tao Xiang, Hangcheng Liu, Shangwei Guo, Yan Gan, Wenjian He, Xiaofeng Liao
2022	J	`jnl`	EGM: An Efficient Generative Model for Unrestricted Adversarial Examples. ACM Trans. Sens. Networks Tao Xiang, Hangcheng Liu, Shangwei Guo, Yan Gan, Xiaofeng Liao
2022	J	`jnl`	ELAA: An efficient local adversarial attack using model interpreters. Int. J. Intell. Syst. Shangwei Guo, Siyuan Geng, Tao Xiang, Hangcheng Liu, Ruitao Hou
2022	J	`jnl`	Evolutionary neural architecture search based on evaluation correction and functional units. Knowl. Based Syst. Ronghua Shang, Songling Zhu, Jinhong Ren, Hangcheng Liu, Licheng Jiao
2022	A*	`conf`	Text's Armor: Optimized Local Adversarial Perturbation Against Scene Text Editing Attacks. ACM Multimedia Tao Xiang, Hangcheng Liu, Shangwei Guo, Hantao Liu, Tianwei Zhang
2021	J	`jnl`	Convolutional Neural Network for Visual Security Evaluation. IEEE Trans. Circuits Syst. Video Technol. Ying Yang, Tao Xiang, Hangcheng Liu, Xiaofeng Liao
2021	J	`jnl`	Local Black-box Adversarial Attacks: A Query Efficient Approach. CoRR Tao Xiang, Hangcheng Liu, Shangwei Guo, Tianwei Zhang, Xiaofeng Liao
2021	J	`jnl`	PEEL: A Provable Removal Attack on Deep Hiding. CoRR Tao Xiang, Hangcheng Liu, Shangwei Guo, Tianwei Zhang
2021	A*	`conf`	PRNet: A Progressive Recovery Network for Revealing Perceptually Encrypted Images. ACM Multimedia Tao Xiang, Ying Yang, Shangwei Guo, Hangcheng Liu, Hantao Liu
2021	A	`conf`	Teacher-Supervised Generative Adversarial Networks. ICME Yan Gan, Tao Xiang, Hangcheng Liu, Mao Ye, Dan Liu
2020	J	`jnl`	Visual Security Evaluation of Perceptually Encrypted Images Based on Image Importance. IEEE Trans. Circuits Syst. Video Technol. Tao Xiang, Ying Yang, Hangcheng Liu, Shangwei Guo