Zhongliang Guo

According to our database, Zhongliang Guo authored at least 36 papers between 2023 and 2026.

Collaborative distances:

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

2026

Thermal-Only Crowd Counting with Deployment-Time Privacy Protection.

Yifei Qian, Zhongliang Guo, Chun Tong Lei, Bowen Deng, Chun Pong Lau, Xiaopeng Hong, Michael P. Pound

CoRR, May, 2026

PoseCompass: Intelligent Synthetic Pose Selection for Visual Localization.

Yanan Zhou, Zhaoyan Qian, Yanli Li, Nan Yang, Zhongliang Guo, Dong Yuan

CoRR, May, 2026

Noise-Aware and Dynamically Adaptive Federated Defense Framework for SAR Image Target Recognition.

Yuchao Hou, Zixuan Zhang, Jie Wang, Wenke Huang, Lianhui Liang, Di Wu, Zhiquan Liu, Youliang Tian, Jianming Zhu, Jisheng Dang, Junhao Dong, Zhongliang Guo

CoRR, January, 2026

DiffProtect: Generative adversarial examples using diffusion models for facial privacy protection.

Jiang Liu, Chun Pong Lau, Zhongliang Guo, Yuxiang Guo, Zhao-Yang Wang, Rama Chellappa

Pattern Recognit., 2026

Backdoor defense for large language models with weak-to-strong knowledge distillation.

Yuwen Li, Xinyi Wu, Zhongliang Guo, Luwei Xiao, Yanhao Jia, Shuai Zhao

Pattern Recognit., 2026

Artwork protection against unauthorized neural style transfer and aesthetic color distance metric.

Zhongliang Guo, Yifei Qian, Shuai Zhao, Junhao Dong, Yanli Li, Ognjen Arandjelovic, Lei Fang, Chun Pong Lau

Pattern Recognit., 2026

GaitProtector: Impersonation-Driven Gait De-Identification via Training-Free Diffusion Latent Optimization.

Huiran Duan, Qian Zhou, Zhongliang Guo, Junhao Dong, Yuqi Li, Guoying Zhao, Yingli Tian

Proceedings of the 20th IEEE International Conference on Automatic Face and Gesture Recognition, 2026

GazeSync: A Mobile Eye-Tracking Tool for Analyzing Visual Attention on Dynamically Manipulated Content.

Yaxiong Lei, Rishab Talwar, Shijing He, Xinya Gong, Yuheng Wang, Xudong Cai, Zhongliang Guo, Juan Ye

Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

GuardFed: A Trustworthy Federated Learning Framework Against Dual-Facet Attacks.

Yanli Li, Yanan Zhou, Zhongliang Guo, Nan Yang, Yuning Zhang, Huaming Chen, Dong Yuan, Weiping Ding, Witold Pedrycz

CoRR, November, 2025

P2P: A Poison-to-Poison Remedy for Reliable Backdoor Defense in LLMs.

Shuai Zhao, Xinyi Wu, Shiqian Zhao, Xiaobao Wu, Zhongliang Guo, Yanhao Jia, Anh Tuan Luu

CoRR, October, 2025

Threats and Defenses in the Federated Learning Life Cycle: A Comprehensive Survey and Challenges.

Yanli Li, Zhongliang Guo, Nan Yang, Huaming Chen, Dong Yuan, Weiping Ding

IEEE Trans. Neural Networks Learn. Syst., September, 2025

Beyond Vulnerabilities: A Survey of Adversarial Attacks as Both Threats and Defenses in Computer Vision Systems.

Zhongliang Guo, Yifei Qian, Yanli Li, Weiye Li, Chun Tong Lei, Shuai Zhao, Lei Fang, Ognjen Arandjelovic, Chun Pong Lau

CoRR, August, 2025

HRIPBench: Benchmarking LLMs in Harm Reduction Information Provision to Support People Who Use Drugs.

Kaixuan Wang, Chenxin Diao, Jason T. Jacques, Zhongliang Guo, Shuai Zhao

CoRR, July, 2025

Affective-ROPTester: Capability and Bias Analysis of LLMs in Predicting Retinopathy of Prematurity.

Shuai Zhao, Yulin Zhang, Luwei Xiao, Xinyi Wu, Yanhao Jia, Zhongliang Guo, Xiaobao Wu, Cong-Duy Nguyen, Guoming Zhang, Anh Tuan Luu

CoRR, July, 2025

Towards more transferable adversarial attack in black-box manner.

Chun Tong Lei, Zhongliang Guo, Hon Chung Lee, Minh Quoc Duong, Chun Pong Lau

CoRR, May, 2025

My Face Is Mine, Not Yours: Facial Protection Against Diffusion Model Face Swapping.

Hon Ming Yam, Zhongliang Guo, Chun Pong Lau

CoRR, May, 2025

FedKD-hybrid: Federated Hybrid Knowledge Distillation for Lithography Hotspot Detection.

Yuqi Li, Xingyou Lin, Kai Zhang, Chuanguang Yang, Zhongliang Guo, Jianping Gou, Yanli Li

CoRR, January, 2025

A Survey of Recent Backdoor Attacks and Defenses in Large Language Models.

Shuai Zhao, Meihuizi Jia, Zhongliang Guo, Leilei Gan, Xiaoyu Xu, Xiaobao Wu, Jie Fu, Yichao Feng, Fengjun Pan, Anh Tuan Luu

Trans. Mach. Learn. Res., 2025

A Gray-Box Attack Against Latent Diffusion Model-Based Image Editing by Posterior Collapse.

Zhongliang Guo, Chun Tong Lei, Lei Fang, Shuai Zhao, Yifei Qian, Jingyu Lin, Zeyu Wang, Cunjian Chen, Ognjen Arandjelovic, Chun Pong Lau

IEEE Trans. Inf. Forensics Secur., 2025

Perspective-assisted prototype-based learning for semi-supervised crowd counting.

Yifei Qian, Liangfei Zhang, Zhongliang Guo, Xiaopeng Hong, Ognjen Arandjelovic, Carl R. Donovan

Pattern Recognit., 2025

Achieving fair medical image segmentation in foundation models with adversarial visual prompt tuning.

Yuqi Li, Yanli Li, Kai Zhang, Fuyan Zhang, Chuanguang Yang, Zhongliang Guo, Weiping Ding, Tingwen Huang

Inf. Sci., 2025

Syntactic paraphrase-based synthetic data generation for backdoor attacks against Chinese language models.

Man Hu, Yatao Yang, Deng Pan, Zhongliang Guo, Luwei Xiao, Deyu Lin, Shuai Zhao

Inf. Fusion, 2025

T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting.

Yifei Qian, Zhongliang Guo, Bowen Deng, Chun Tong Lei, Shuai Zhao, Chun Pong Lau, Xiaopeng Hong, Michael P. Pound

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Instant Adversarial Purification with Adversarial Consistency Distillation.

Chun Tong Lei, Hon Ming Yam, Zhongliang Guo, Yifei Qian, Chun Pong Lau

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Semi-Supervised Crowd Counting With Contextual Modeling: Facilitating Holistic Understanding of Crowd Scenes.

Yifei Qian, Xiaopeng Hong, Zhongliang Guo, Ognjen Arandjelovic, Carl R. Donovan

IEEE Trans. Circuits Syst. Video Technol., September, 2024

Correction: Guo et al. A Siamese Transformer Network for Zero-Shot Ancient Coin Classification. J. Imaging 2023, 9, 107.

Zhongliang Guo, Ognjen Arandjelovic, David Reid, Yaxiong Lei, Jochen Büttner

J. Imaging, March, 2024

MMAD-Purify: A Precision-Optimized Framework for Efficient and Scalable Multi-Modal Attacks.

Xinxin Liu, Zhongliang Guo, Siyuan Huang, Chun Pong Lau

CoRR, 2024

Weak-to-Strong Backdoor Attack for Large Language Models.

Shuai Zhao, Leilei Gan, Zhongliang Guo, Xiaobao Wu, Luwei Xiao, Xiaoyu Xu, Cong-Duy Nguyen, Luu Anh Tuan

CoRR, 2024

Instant Adversarial Purification with Adversarial Consistency Distillation.

Chun Tong Lei, Hon Ming Yam, Zhongliang Guo, Chun Pong Lau

CoRR, 2024

A Grey-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse.

Zhongliang Guo, Lei Fang, Jingyu Lin, Yifei Qian, Shuai Zhao, Zeyu Wang, Junhao Dong, Cunjian Chen, Ognjen Arandjelovic, Chun Pong Lau

CoRR, 2024

A Survey of Backdoor Attacks and Defenses on Large Language Models: Implications for Security Measures.

Shuai Zhao, Meihuizi Jia, Zhongliang Guo, Leilei Gan, Jie Fu, Yichao Feng, Fengjun Pan, Luu Anh Tuan

CoRR, 2024

Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack.

Zhongliang Guo, Kaixuan Wang, Weiye Li, Yifei Qian, Ognjen Arandjelovic, Lei Fang

CoRR, 2024

Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack.

Zhongliang Guo, Junhao Dong, Yifei Qian, Kaixuan Wang, Weiye Li, Ziheng Guo, Yuheng Wang, Yanli Li, Ognjen Arandjelovic, Lei Fang

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models.

Zhongliang Guo, Weiye Li, Yifei Qian, Ognjen Arandjelovic, Lei Fang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

A Siamese Transformer Network for Zero-Shot Ancient Coin Classification.

Zhongliang Guo, Ognjen Arandjelovic, David Reid, Yaxiong Lei

J. Imaging, 2023

A White-Box False Positive Adversarial Attack Method on Contrastive Loss-Based Offline Handwritten Signature Verification Models.

Zhongliang Guo, Yifei Qian, Ognjen Arandjelovic, Lei Fang

CoRR, 2023