Pengzhou Cheng

According to our database, Pengzhou Cheng authored at least 19 papers between 2020 and 2025.

Collaborative distances:

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

2025

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining.

Zongru Wu, Pengzhou Cheng, Lingyong Fang, Zhuosheng Zhang, Gongshen Liu

Proceedings of the 31st International Conference on Computational Linguistics, 2025

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., September, 2024

Transferring Backdoors between Large Language Models by Knowledge Distillation.

Pengzhou Cheng, Zongru Wu, Tianjie Ju, Wei Du, Zhuosheng Zhang, 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, Lifeng Liu, Jian Xie, Zhuosheng Zhang, 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, 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

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

Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space.

Zongru Wu, Zhuosheng Zhang, Pengzhou Cheng, Gongshen Liu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

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

LSF-IDM: Automotive Intrusion Detection Model with Lightweight Attribution and Semantic Fusion.

Pengzhou Cheng, Lei Hua, Haobin Jiang, Mohammad Samie, Gongshen Liu

CoRR, 2023

PLMmark: A Secure and Robust Black-Box Watermarking Framework for Pre-trained Language Models.

Peixuan Li, Pengzhou Cheng, Fangqi Li, Wei Du, Haodong Zhao, Gongshen Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

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

STC-IDS: Spatial-Temporal Correlation Feature Analyzing based Intrusion Detection System for Intelligent Connected Vehicles.

Mu Han, Pengzhou Cheng, Fengwei Zhang

CoRR, 2022

Alzheimer's Disease Image Classification Based on Efficient Convolutional Neural Network.

Hao Yi, Pengzhou Cheng, Moyuan Feng, Teik Toe Teoh

Proceedings of the 7th International Conference on Biomedical Imaging, Signal Processing, 2022

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

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

2020

CVNNs-IDS: Complex-Valued Neural Network Based In-Vehicle Intrusion Detection System.

Mu Han, Pengzhou Cheng, Shidian Ma

Proceedings of the Security and Privacy in Digital Economy, 2020