CVNNs-IDS: Complex-Valued Neural Network Based In-Vehicle Intrusion Detection System. - Mu Han; Pengzhou Cheng; Shidian Ma (SPDE, 2020)

Implementing an Efficient Secure Attribute-Based Encryption System for IoV Using Association Rules. - Mu Han; Mengli Zhu; Pengzhou Cheng; Zhikun Yin; Haixin Qu (Symmetry, 2021)

PPM-InVIDS: Privacy protection model for in-vehicle intrusion detection system based complex-valued neural network. - Mu Han; Pengzhou Cheng; Shidian Ma (Veh. Commun., 2021)

Alzheimer's Disease Image Classification Based on Efficient Convolutional Neural Network. - Hao Yi; Pengzhou Cheng; Moyuan Feng; Teik Toe Teoh (ICBSP, 2022)

STC-IDS: Spatial-Temporal Correlation Feature Analyzing based Intrusion Detection System for Intelligent Connected Vehicles. - Mu Han; Pengzhou Cheng; Fengwei Zhang (CoRR, 2022)

STC-IDS: Spatial-temporal correlation feature analyzing based intrusion detection system for intelligent connected vehicles. - Pengzhou Cheng; Mu Han; Aoxue Li; Fengwei Zhang (Int. J. Intell. Syst., 2022)

TCAN-IDS: Intrusion Detection System for Internet of Vehicle Using Temporal Convolutional Attention Network. - Pengzhou Cheng; Kai Xu; Simin Li; Mu Han (Symmetry, 2022)

PLMmark: A Secure and Robust Black-Box Watermarking Framework for Pre-trained Language Models. - Peixuan Li; Pengzhou Cheng; Fangqi Li 001; Wei Du; Haodong Zhao; Gongshen Liu (AAAI, 2023)

LSF-IDM: Automotive Intrusion Detection Model with Lightweight Attribution and Semantic Fusion. - Pengzhou Cheng; Lei Hua; Haobin Jiang; Mohammad Samie; Gongshen Liu (CoRR, 2023)

Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review. - Pengzhou Cheng; Zongru Wu; Wei Du; Haodong Zhao; Gongshen Liu (CoRR, 2023)

DESC-IDS: Towards an efficient real-time automotive intrusion detection system based on deep evolving stream clustering. - Pengzhou Cheng; Mu Han; Gongshen Liu (Future Gener. Comput. Syst., 2023)

Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space. - Zongru Wu; Zhuosheng Zhang 001; Pengzhou Cheng; Gongshen Liu (ACL (1), 2024)

Syntactic Ghost: An Imperceptible General-purpose Backdoor Attacks on Pre-trained Language Models. - Pengzhou Cheng; Wei Du; Zongru Wu; Fengwei Zhang; Libo Chen; Gongshen Liu (CoRR, 2024)

MKF-ADS: Multi-Knowledge Fusion Based Self-supervised Anomaly Detection System for Control Area Network. - Pengzhou Cheng; Zongru Wu; Gongshen Liu (CoRR, 2024)

TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models. - Pengzhou Cheng; Yidong Ding; Tianjie Ju; Zongru Wu; Wei Du; Ping Yi; Zhuosheng Zhang 001; Gongshen Liu (CoRR, 2024)

Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities. - Tianjie Ju; Yiting Wang; Xinbei Ma; Pengzhou Cheng; Haodong Zhao; Yulong Wang 004; Lifeng Liu; Jian Xie; Zhuosheng Zhang 001; Gongshen Liu (CoRR, 2024)

Transferring Backdoors between Large Language Models by Knowledge Distillation. - Pengzhou Cheng; Zongru Wu; Tianjie Ju; Wei Du; Zhuosheng Zhang 001; Gongshen Liu (CoRR, 2024)

LSF-IDM: Deep learning-based lightweight semantic fusion intrusion detection model for automotive. - Pengzhou Cheng; Lei Hua; Haobin Jiang; Gongshen Liu (Peer Peer Netw. Appl., 2024)

OS-Kairos: Adaptive Interaction for MLLM-Powered GUI Agents. - Pengzhou Cheng; Zheng Wu; Zongru Wu; Tianjie Ju; Aston Zhang; Zhuosheng Zhang 001; Gongshen Liu (ACL (Findings), 2025)

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining. - Zongru Wu; Pengzhou Cheng; Lingyong Fang; Zhuosheng Zhang 001; Gongshen Liu (COLING, 2025)

BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation. - Haiyang Yu; Tian Xie; Jiaping Gui; Pengyang Wang; Pengzhou Cheng; Ping Yi; Yue Wu 010 (KDD (1), 2025)

SynGhost: Invisible and Universal Task-agnostic Backdoor Attack via Syntactic Transfer. - Pengzhou Cheng; Wei Du; Zongru Wu; Fengwei Zhang; Libo Chen; Zhuosheng Zhang 001; Gongshen Liu (NAACL (Findings), 2025)

Investigating the Adaptive Robustness with Knowledge Conflicts in LLM-based Multi-Agent Systems. - Tianjie Ju; Bowen Wang; Hao Fei 001; Mong-Li Lee; Wynne Hsu; Yun Li; Qianren Wang; Pengzhou Cheng; Zongru Wu; Zhuosheng Zhang 001; Gongshen Liu (CoRR, 2025)

Smoothing Grounding and Reasoning for MLLM-Powered GUI Agents with Query-Oriented Pivot Tasks. - Zongru Wu; Pengzhou Cheng; Zheng Wu; Tianjie Ju; Zhuosheng Zhang 001; Gongshen Liu (CoRR, 2025)

OS-Kairos: Adaptive Interaction for MLLM-Powered GUI Agents. - Pengzhou Cheng; Zheng Wu; Zongru Wu; Aston Zhang; Zhuosheng Zhang 001; Gongshen Liu (CoRR, 2025)

GEM: Gaussian Embedding Modeling for Out-of-Distribution Detection in GUI Agents. - Zheng Wu; Pengzhou Cheng; Zongru Wu; Lingzhong Dong; Zhuosheng Zhang 001 (CoRR, 2025)

Hidden Ghost Hand: Unveiling Backdoor Vulnerabilities in MLLM-Powered Mobile GUI Agents. - Pengzhou Cheng; Haowen Hu; Zheng Wu; Zongru Wu; Tianjie Ju; Zhuosheng Zhang 001; Gongshen Liu (CoRR, 2025)

On the Adaptive Psychological Persuasion of Large Language Models. - Tianjie Ju; Yujia Chen; Hao Fei 001; Mong-Li Lee; Wynne Hsu; Pengzhou Cheng; Zongru Wu; Zhuosheng Zhang 001; Gongshen Liu (CoRR, 2025)

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System. - Yuan Guo; Tingjia Miao; Zheng Wu; Pengzhou Cheng; Ming Zhou; Zhuosheng Zhang 001 (CoRR, 2025)