Pengzhou Cheng
Orcid: 0000-0003-2384-8613
According to our database1,
Pengzhou Cheng
authored at least 29 papers
between 2020 and 2025.
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Bibliography
2025
Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System.
CoRR, June, 2025
Hidden Ghost Hand: Unveiling Backdoor Vulnerabilities in MLLM-Powered Mobile GUI Agents.
CoRR, May, 2025
CoRR, May, 2025
Smoothing Grounding and Reasoning for MLLM-Powered GUI Agents with Query-Oriented Pivot Tasks.
CoRR, March, 2025
Investigating the Adaptive Robustness with Knowledge Conflicts in LLM-based Multi-Agent Systems.
CoRR, February, 2025
SynGhost: Invisible and Universal Task-agnostic Backdoor Attack via Syntactic Transfer.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025
Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
LSF-IDM: Deep learning-based lightweight semantic fusion intrusion detection model for automotive.
Peer Peer Netw. Appl., September, 2024
CoRR, 2024
CoRR, 2024
TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models.
CoRR, 2024
MKF-ADS: Multi-Knowledge Fusion Based Self-supervised Anomaly Detection System for Control Area Network.
CoRR, 2024
Syntactic Ghost: An Imperceptible General-purpose Backdoor Attacks on Pre-trained Language Models.
CoRR, 2024
Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space.
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.
Future Gener. Comput. Syst., 2023
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review.
CoRR, 2023
LSF-IDM: Automotive Intrusion Detection Model with Lightweight Attribution and Semantic Fusion.
CoRR, 2023
PLMmark: A Secure and Robust Black-Box Watermarking Framework for Pre-trained Language Models.
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.
Symmetry, 2022
STC-IDS: Spatial-temporal correlation feature analyzing based intrusion detection system for intelligent connected vehicles.
Int. J. Intell. Syst., 2022
STC-IDS: Spatial-Temporal Correlation Feature Analyzing based Intrusion Detection System for Intelligent Connected Vehicles.
CoRR, 2022
Alzheimer's Disease Image Classification Based on Efficient Convolutional Neural Network.
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.
Veh. Commun., 2021
Implementing an Efficient Secure Attribute-Based Encryption System for IoV Using Association Rules.
Symmetry, 2021
2020
CVNNs-IDS: Complex-Valued Neural Network Based In-Vehicle Intrusion Detection System.
Proceedings of the Security and Privacy in Digital Economy, 2020