Jiabao Guo

According to our database, Jiabao Guo authored at least 32 papers between 2017 and 2026.

Collaborative distances:

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

2026

Take off Your Disguise: Detecting Disguised Prompt-Based Jailbreak Attacks Against LLMs.

Hui Liu, Fujv Wen, Hongqin Du, Jiabao Guo, Bo Zhao

IEEE Trans. Comput. Soc. Syst., June, 2026

ICPE-FAS: Instance and Category Prompts Engineering for Generalizable Face Anti-Spoofing.

Ajian Liu, Xun Lin, Hui Ma, Xinxing Yu, Jiabao Guo, Zitong Yu, Jun Wan, Zhanchuan Cai, Zhen Lei, Yanyan Liang

Int. J. Comput. Vis., June, 2026

TG4MM: Time-Varying Gaussian Splatting for 3D Motion Magnification.

Zheng Zhang, Jiabao Guo, Fei Wang, Jinyang Huang, Zhi Liu, Dan Guo

IEEE Trans. Circuits Syst. Video Technol., April, 2026

Adversarial Face Database against Deep Learning-Enabled Reconstruction Attacks.

Hui Liu, Ling Ding, Jiageng Chen, Jinghua Wang, Xu Du, Jiabao Guo

ACM Trans. Intell. Syst. Technol., February, 2026

Domain Generalization for Face Anti-Spoofing via Content-Aware Composite Prompt Engineering.

Jiabao Guo, Ajian Liu, Yunfeng Diao, Jin Zhang, Hui Ma, Bo Zhao, Richang Hong, Meng Wang

IEEE Trans. Multim., 2026

SMInject: Specious Malignant Injection Attacks With Semantically-Enhanced Tokens in Cross-Modal Retrieval.

Ju Jia, Wenyi Zhang, Jiabao Guo, Xiaojun Jia, Siqi Ma, Jie Gui, Robert H. Deng

IEEE Trans. Dependable Secur. Comput., 2026

CTEA: Camouflaged topological element attack via causal influence discovery.

Ju Jia, Pengyuan Gao, Meng Luo, Cong Wu, Jiabao Guo

Expert Syst. Appl., 2026

Wi-CBR: Salient-aware Adaptive WiFi Sensing for Cross-domain Behavior Recognition.

Ruobei Zhang, Shengeng Tang, Huan Yan, Xiang Zhang, Jiabao Guo

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

PAGPL: Privacy-Aware Graph Prompt Learning Scheme via Adaptive Perturbation-Estimated Topology Recovery.

Ju Jia, Jiansen Song, Jingxuan Yu, Jiabao Guo, Xiaoshuang Jia, Di Wu, Yali Yuan, Guang Cheng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

GeoDiffMM: Geometry-Guided Conditional Diffusion for Motion Magnification.

Xuedeng Liu, Jiabao Guo, Zheng Zhang, Fei Wang, Zhi Liu, Dan Guo

CoRR, December, 2025

Spoofing-aware Prompt Learning for Unified Physical-Digital Facial Attack Detection.

Jiabao Guo, Yadian Wang, Hui Ma, Yuhao Fu, Ju Jia, Hui Liu, Shengeng Tang, Lechao Cheng, Yunfeng Diao, Ajian Liu

CoRR, December, 2025

A cutting-edge framework for industrial intrusion detection: Privacy-preserving, cost-friendly, and powered by federated learning.

Lingzi Zhu, Bo Zhao, Jiabao Guo, Minzhi Ji, Junru Peng

Appl. Intell., May, 2025

SUEDE:Shared Unified Experts for Physical-Digital Face Attack Detection Enhancement.

Zuying Xie, Changtao Miao, Ajian Liu, Jiabao Guo, Feng Li, Dan Guo, Yunfeng Diao

CoRR, April, 2025

Exploiting Non-Collinear Array Geometry for Channel Phase Error Self-Calibration.

Qiancheng Yan, Xiaolan Qiu, Jiabao Guo, Zekun Jiao, Chibiao Ding

IEEE Signal Process. Lett., 2025

ID ³ : Identity-Driven Learning Based on 3D Reconstruction and Frame-Level Residual Enhancement for Deepfakes Detection.

Hui Ma, Jin Zhang, Xihong Chen, Wenhao Chu, Jiabao Guo, Junze Zheng, Liying Yang, Yanyan Liang

IET Biom., 2025

SUEDE: Shared Unified Experts for Physical- Digital Face Attack Detection Enhancement.

Zuying Xie, Changtao Miao, Ajian Liu, Jiabao Guo, Feng Li, Dan Guo, Yunfeng Diao

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

UniAttackData+: Unified Physical-Digital Attack Detection+ Challenge.

Hui Ma, Ajian Liu, Yongze Li, Chuanbiao Song, Xiao Guo, Changtao Miao, Wanyi Zhuang, Junze Zheng, Shunxin Chen, Yan Hong, Jiabao Guo, Jiankang Deng, Jun Lan, Weiqiang Wang, Tao Gong, Qi Chu, Sergio Escalera, Hugo Jair Escalante, Xiaoming Liu, Zhen Lei, Isabelle Guyon, Yanyan Liang, Jun Wan

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Spoofing-aware Prompt Learning for Unified Physical-Digital Facial Attack Detection.

Jiabao Guo, Yadian Wang, Hui Ma, Yuhao Fu, Ju Jia, Hui Liu, Shengeng Tang, Lechao Cheng, Yufeng Diao, Ajian Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

CrossGAP: Unified Face Anti-Spoofing via Cross-Modal Global-Aware Prompting.

Xihong Chen, Yutong Xie, Hui Ma, Ning Li, Yanyan Liang, Jiabao Guo

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

A lightweight unsupervised adversarial detector based on autoencoder and isolation forest.

Hui Liu, Bo Zhao, Jiabao Guo, Kehuan Zhang, Peng Liu

Pattern Recognit., March, 2024

Design and analysis of exoskeleton devices for rehabilitation of distal radius fracture.

Zhiquan Chen, Jiabao Guo, Yishan Liu, Mengqian Tian, Xingsong Wang

Frontiers Neurorobotics, 2024

Style-conditional Prompt Token Learning for Generalizable Face Anti-spoofing.

Jiabao Guo, Huan Liu, Yizhi Luo, Xueli Hu, Hang Zou, Yuan Zhang, Hui Liu, Bo Zhao

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

DeepDual-SD: Deep Dual Attribute-Aware Embedding for Binary Code Similarity Detection.

Jiabao Guo, Bo Zhao, Hui Liu, Dongdong Leng, Yang An, Gangli Shu

Int. J. Comput. Intell. Syst., December, 2023

FedCSS: Joint Client-and-Sample Selection for Hard Sample-Aware Noise-Robust Federated Learning.

Anran Li, Yue Cao, Jiabao Guo, Hongyi Peng, Qing Guo, Han Yu

Proc. ACM Manag. Data, September, 2023

DACAS: integration of attribute-based access control for northbound interface security in SDN.

Yifan Liu, Bo Zhao, Yang An, Jiabao Guo

World Wide Web (WWW), July, 2023

Cellular Traffic Prediction: A Deep Learning Method Considering Dynamic Nonlocal Spatial Correlation, Self-Attention, and Correlation of Spatiotemporal Feature Fusion.

Zheheng Rao, Yanyan Xu, Shaoming Pan, Jiabao Guo, Yuejing Yan, Zhiheng Wang

IEEE Trans. Netw. Serv. Manag., March, 2023

2022

Feature-filter: Detecting adversarial examples by filtering out recessive features.

Hui Liu, Bo Zhao, Minzhi Ji, Yuefeng Peng, Jiabao Guo, Peng Liu

Appl. Soft Comput., 2022

2021

Feature-Filter: Detecting Adversarial Examples through Filtering off Recessive Features.

Hui Liu, Bo Zhao, Yuefeng Peng, Jiabao Guo, Peng Liu

CoRR, 2021

2020

FoolChecker: A platform to evaluate the robustness of images against adversarial attacks.

Hui Liu, Bo Zhao, Linquan Huang, Jiabao Guo, Yifan Liu

Neurocomputing, 2020

GreedyFool: An Imperceptible Black-box Adversarial Example Attack against Neural Networks.

Hui Liu, Bo Zhao, Jiabao Guo, Yang An, Peng Liu

CoRR, 2020

2019

Bidirectional LSTM with attention mechanism and convolutional layer for text classification.

Gang Liu, Jiabao Guo

Neurocomputing, 2019

2017

Quantitative Deliberation Model and the Method of Consensus Building.

Xuan Li, Caiquan Xiong, Jiabao Guo, Gang Liu

Proceedings of the Complex, Intelligent, and Software Intensive Systems, 2017