publications

2026

1. 

   From Docs to Descriptions: Smell-Aware Evaluation of MCP Server Descriptions

   Peiran Wang, Ying Li, Yuqiang Sun, and 3 more authors

   arXiv preprint, 2026

   Bib HTML

   @article{wang2026mcpsmell,
     title = {From Docs to Descriptions: Smell-Aware Evaluation of MCP Server Descriptions},
     author = {Wang, Peiran and Li, Ying and Sun, Yuqiang and Liu, Chengwei and Liu, Yang and Tian, Yuan},
     year = {2026},
     journal = {arXiv preprint},
   }

2. 

   The Landscape of Prompt Injection Threats in LLM Agents: From Taxonomy to Analysis

   Peiran Wang, Xinfeng Li, Chong Xiang, and 5 more authors

   arXiv preprint, 2026

   Bib HTML

   @article{wang2026pisok,
     title = {The Landscape of Prompt Injection Threats in LLM Agents: From Taxonomy to Analysis},
     author = {Wang, Peiran and Li, Xinfeng and Xiang, Chong and Zhang, Jinghuai and Li, Ying and Zhang, Lixia and Wang, Xiaofeng and Tian, Yuan},
     year = {2026},
     journal = {arXiv preprint},
   }

3. 

   TrustGen: A Platform of Dynamic Benchmarking on the Trustworthiness of Generative Foundation Models

   Yue Huang, Chujie Gao, Siyuan Wu, and 13 more authors

   In ICLR, 2026

   Bib HTML

   @inproceedings{huang2026trustgen,
     title = {TrustGen: A Platform of Dynamic Benchmarking on the Trustworthiness of Generative Foundation Models},
     author = {Huang, Yue and Gao, Chujie and Wu, Siyuan and Wang, Haoran and Wang, Xiangqi and Ye, Jiayi and Zhou, Yujun and Wang, Yanbo and Shi, Jiawen and Zhang, Qihui and Bao, Han and Liu, Zhaoyi and Li, Yuan and Guan, Tianrui and Wang, Peiran and others},
     year = {2026},
     booktitle = {ICLR},
   }

2025

1. 

   Towards Adversarially Robust Condensed Dataset by Curvature Regularization

   Eric Xue, Yijiang Li, Haoyang Liu, and 3 more authors

   In The 39th Annual AAAI Conference on Artificial Intelligence, 2025

   Bib HTML

   @inproceedings{xue2025advdd,
     title = {Towards Adversarially Robust Condensed Dataset by Curvature Regularization},
     author = {Xue, Eric and Li, Yijiang and Liu, Haoyang and Wang, Peiran and Shen, Yifan and Wang, Haohan},
     year = {2025},
     booktitle = {The 39th Annual AAAI Conference on Artificial Intelligence},
   }

2. 

   AgentArmor: Enforcing Program Analysis on Agent Runtime Trace to Defend Against Prompt Injection

   Peiran Wang, Yang Liu, Yunfei Lu, and 6 more authors

   arXiv preprint, 2025

   Bib HTML

   @article{wang2025agentarmor,
     title = {AgentArmor: Enforcing Program Analysis on Agent Runtime Trace to Defend Against Prompt Injection},
     author = {Wang, Peiran and Liu, Yang and Lu, Yunfei and Cai, Yifeng and Chen, Hongbo and Yang, Qingyou and Zhang, Jie and Hong, Jue and Wu, Ye},
     year = {2025},
     journal = {arXiv preprint},
   }

3. 

   Large Language Model-based Data Science Agent: A Survey

   Ke Chen, Peiran Wang, Yaoning Yu, and 2 more authors

   Transactions on Machine Learning Research, 2025

   Bib HTML

   @article{chen2025dsagentsurvey,
     title = {Large Language Model-based Data Science Agent: A Survey},
     author = {Chen, Ke and Wang, Peiran and Yu, Yaoning and Zhan, Xianyang and Wang, Haohan},
     year = {2025},
     journal = {Transactions on Machine Learning Research},
   }

4. 

   From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models

   Haibo Jin, Peiyan Zhang, Peiran Wang, and 2 more authors

   arXiv preprint, 2025

   Bib HTML

   @article{jin2025halu2jail,
     title = {From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models},
     author = {Jin, Haibo and Zhang, Peiyan and Wang, Peiran and Luo, Man and Wang, Haohan},
     year = {2025},
     journal = {arXiv preprint},
   }

5. 

   What Are Models Thinking About? Understanding Large Language Model Hallucinations "Psychology" Through Model Inner State Analysis

   Peiran Wang, Yang Liu, Yunfei Lu, and 2 more authors

   arXiv preprint, 2025

   Bib HTML

   @article{wang2025haluprobe,
     title = {What Are Models Thinking About? Understanding Large Language Model Hallucinations "Psychology" Through Model Inner State Analysis},
     author = {Wang, Peiran and Liu, Yang and Lu, Yunfei and Hong, Jue and Wu, Ye},
     year = {2025},
     journal = {arXiv preprint},
   }

6. 

   Dataset Distillation via the Wasserstein Metric

   Haoyang Liu, Yijiang Li, Tiancheng Xing, and 5 more authors

   In International Conference on Computer Vision, 2025

   Bib HTML

   @inproceedings{liu2025wassdd,
     title = {Dataset Distillation via the Wasserstein Metric},
     author = {Liu, Haoyang and Li, Yijiang and Xing, Tiancheng and Wang, Peiran and Dalal, Vibhu and Li, Luwei and He, Jingrui and Wang, Haohan},
     year = {2025},
     booktitle = {International Conference on Computer Vision},
   }

7. 

   Split-and-Privatize Framework for Large Language Model Fine-Tuning

   Xicong Shen, Yang Liu, Huiqi Liu, and 6 more authors

   In 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025

   Bib HTML

   @inproceedings{shen2025sap,
     title = {Split-and-Privatize Framework for Large Language Model Fine-Tuning},
     author = {Shen, Xicong and Liu, Yang and Liu, Huiqi and Hong, Jue and Duan, Bing and Huang, Zirui and Mao, Yunlong and Wu, Ye and Wu, Di},
     year = {2025},
     booktitle = {34th International Joint Conference on Artificial Intelligence (IJCAI)},
   }

8. 

   FedUFD: Uncertainty-Driven Feature Distillation for Heterogeneous Federated Learning

   Zerui Shao, Beibei Li, Zhibo Wang, and 3 more authors

   In IEEE International Conference on Computer Communications (INFOCOM), 2025

   Bib HTML

   @inproceedings{shao2025fedufd,
     title = {FedUFD: Uncertainty-Driven Feature Distillation for Heterogeneous Federated Learning},
     author = {Shao, Zerui and Li, Beibei and Wang, Zhibo and Yang, Yanbing and Wang, Peiran and Luo, Jun},
     year = {2025},
     booktitle = {IEEE International Conference on Computer Communications (INFOCOM)},
   }

9. 

   CVE-Bench: Benchmarking LLM-based Software Engineering Agent’s Ability to Repair Real-World CVE Vulnerabilities

   Peiran Wang, Xiaogeng Liu, and Chaowei Xiao

   In 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics, 2025

   Bib HTML

   @inproceedings{wang2025cvebench,
     title = {CVE-Bench: Benchmarking LLM-based Software Engineering Agent's Ability to Repair Real-World CVE Vulnerabilities},
     author = {Wang, Peiran and Liu, Xiaogeng and Xiao, Chaowei},
     year = {2025},
     booktitle = {2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics},
   }

10. 

    RePD: Defending Jailbreak Attacks Through a Retrieval-based Prompt Decomposition Process

    Peiran Wang, Xiaogeng Liu, and Chaowei Xiao

    In 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics, 2025

    Bib HTML

    @inproceedings{wang2025repd,
      title = {RePD: Defending Jailbreak Attacks Through a Retrieval-based Prompt Decomposition Process},
      author = {Wang, Peiran and Liu, Xiaogeng and Xiao, Chaowei},
      year = {2025},
      booktitle = {2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics},
    }

11. 

    FedLoRE: Communication-Efficient and Personalized Edge Intelligence Framework via Federated Low-Rank Estimation

    Zerui Shao, Beibei Li, Peiran Wang, and 2 more authors

    IEEE Transactions on Parallel and Distributed Systems, 2025

    Bib HTML

    @article{shao2025fedlore,
      title = {FedLoRE: Communication-Efficient and Personalized Edge Intelligence Framework via Federated Low-Rank Estimation},
      author = {Shao, Zerui and Li, Beibei and Wang, Peiran and Zhang, Yi and Choo, Kim-Kwang Raymond},
      year = {2025},
      journal = {IEEE Transactions on Parallel and Distributed Systems},
    }

2024

1. 

   Moderator: Moderating Text-to-Image Diffusion Models through Fine-grained Context-based Policies

   Peiran Wang, Qiyu Li, Longxuan Yu, and 3 more authors

   In 31st ACM Conference on Computer and Communications Security (CCS), 2024

   Awarded Bib HTML

   CCS Distinguished Paper Award

   @inproceedings{wang2024moderator,
     title = {Moderator: Moderating Text-to-Image Diffusion Models through Fine-grained Context-based Policies},
     author = {Wang, Peiran and Li, Qiyu and Yu, Longxuan and Wang, Ziyao and Li, Ang and Jin, Haojian},
     year = {2024},
     booktitle = {31st ACM Conference on Computer and Communications Security (CCS)},
   }

2. 

   Astra: Efficient and Money-saving Automatic Parallel Strategies Search on Heterogeneous GPUs

   Peiran Wang, Haibing Li, Haohan Fu, and 3 more authors

   arXiv preprint, 2024

   Bib HTML

   @article{wang2024astra,
     title = {Astra: Efficient and Money-saving Automatic Parallel Strategies Search on Heterogeneous GPUs},
     author = {Wang, Peiran and Li, Haibing and Fu, Haohan and Li, Shiyong and Wang, Yanpeng and Shen, Dou},
     year = {2024},
     journal = {arXiv preprint},
   }

3. 

   DistDD: Distributed Data Distillation Aggregation Through Gradient Matching

   Peiran Wang and Haohan Wang

   arXiv preprint, 2024

   Bib HTML

   @article{wang2024distdd,
     title = {DistDD: Distributed Data Distillation Aggregation Through Gradient Matching},
     author = {Wang, Peiran and Wang, Haohan},
     year = {2024},
     journal = {arXiv preprint},
   }

4. 

   Prompt Injection Benchmark for Foundation Model Integrated Systems

   Jiongxiao Wang, Peiran Li, Siyuan Ma, and 8 more authors

   arXiv preprint, 2024

   Bib HTML

   @article{wang2024pibbench,
     title = {Prompt Injection Benchmark for Foundation Model Integrated Systems},
     author = {Wang, Jiongxiao and Li, Peiran and Ma, Siyuan and Wang, Peiran and Liu, Xiaogeng and Sun, Jiashuo and Liang, Yiming and Xia, Tian and Wang, Yu and Luo, Weidi and Xiao, Chaowei},
     year = {2024},
     journal = {arXiv preprint},
   }

5. 

   SecDT: Mitigating Label Leakage in Two-Party Split Learning

   Yukun Jiang, Peiran Wang, Chengguo Lin, and 2 more authors

   arXiv preprint, 2024

   Bib HTML

   @article{jiang2024secdt,
     title = {SecDT: Mitigating Label Leakage in Two-Party Split Learning},
     author = {Jiang, Yukun and Wang, Peiran and Lin, Chengguo and Huang, Ziyue and Cheng, Yong},
     year = {2024},
     journal = {arXiv preprint},
   }

6. 

   Distributed Boosting: An Enhancing Method on Dataset Distillation

   Xuechao Chen, Wenchao Meng, Peiran Wang, and 1 more author

   In 33rd ACM International Conference on Information and Knowledge Management (CIKM), 2024

   Bib HTML

   @inproceedings{chen2024distboost,
     title = {Distributed Boosting: An Enhancing Method on Dataset Distillation},
     author = {Chen, Xuechao and Meng, Wenchao and Wang, Peiran and Zhou, Qihang},
     year = {2024},
     booktitle = {33rd ACM International Conference on Information and Knowledge Management (CIKM)},
   }

2023

1. 

   DistPlanS: Automating Execution Planning for Distributed Deep Neural Networks

   Peiran Wang, Rongwei Lu, and Zhi Wang

   arXiv preprint, 2023

   Bib

   @article{wang2023distplans,
     title = {DistPlanS: Automating Execution Planning for Distributed Deep Neural Networks},
     author = {Wang, Peiran and Lu, Rongwei and Wang, Zhi},
     year = {2023},
     journal = {arXiv preprint},
   }

2. 

   FedCliP: Federated Learning with Client Pruning

   Beibei Li, Zerui Shao, Ao Liu, and 1 more author

   arXiv preprint, 2023

   Bib HTML

   @article{li2023fedclip,
     title = {FedCliP: Federated Learning with Client Pruning},
     author = {Li, Beibei and Shao, Zerui and Liu, Ao and Wang, Peiran},
     year = {2023},
     journal = {arXiv preprint},
   }

3. 

   TinyG: Accurate IP Geolocation Using a Tiny Number of Probers

   Nan Jiang, Jessie Hui Wang, Jilong Wang, and 1 more author

   In 2023 19th International Conference on Network and Service Management, 2023

   Bib HTML

   @inproceedings{jiang2023tinyg,
     title = {TinyG: Accurate IP Geolocation Using a Tiny Number of Probers},
     author = {Jiang, Nan and Wang, Jessie Hui and Wang, Jilong and Wang, Peiran},
     year = {2023},
     booktitle = {2023 19th International Conference on Network and Service Management},
   }

4. 

   Top AS Router Geolocation in Databases: Performance and Techniques

   Nan Jiang, Jessie Hui Wang, Jilong Wang, and 1 more author

   Future Generation Computer Systems, 2023

   Bib HTML

   @article{jiang2023topas,
     title = {Top AS Router Geolocation in Databases: Performance and Techniques},
     author = {Jiang, Nan and Wang, Jessie Hui and Wang, Jilong and Wang, Peiran},
     year = {2023},
     journal = {Future Generation Computer Systems},
   }

2022

1. 

   Defending Byzantine Attacks in Ensemble Federated Learning: A Reputation-based Phishing Approach

   Beibei Li, Peiran Wang, Zerui Shao, and 3 more authors

   Future Generation Computer Systems, 2022

   Bib HTML

   @article{li2022efl,
     title = {Defending Byzantine Attacks in Ensemble Federated Learning: A Reputation-based Phishing Approach},
     author = {Li, Beibei and Wang, Peiran and Shao, Zerui and Liu, Ao and Jiang, Yukun and Li, Yizhou},
     year = {2022},
     journal = {Future Generation Computer Systems},
   }

2021

1. 

   MineDetector: JavaScript Browser-side Cryptomining Detection Using Static Methods

   Peiran Wang, Yuqiang Sun, Cheng Huang, and 3 more authors

   In 2021 IEEE 24th International Conference on Computational Science and Engineering, 2021

   Bib HTML

   @inproceedings{wang2021minedetector,
     title = {MineDetector: JavaScript Browser-side Cryptomining Detection Using Static Methods},
     author = {Wang, Peiran and Sun, Yuqiang and Huang, Cheng and Du, Yutong and Liang, Genpei and Long, Gang},
     year = {2021},
     booktitle = {2021 IEEE 24th International Conference on Computational Science and Engineering},
   }

2. 

   FedVANet: Efficient Federated Learning with Non-IID Data for Vehicular Ad Hoc Networks

   Beibei Li, Yukun Jiang, Wenbin Sun, and 2 more authors

   In 2021 IEEE Global Communications Conference (GLOBECOM), 2021

   Bib HTML

   @inproceedings{li2021fedvanet,
     title = {FedVANet: Efficient Federated Learning with Non-IID Data for Vehicular Ad Hoc Networks},
     author = {Li, Beibei and Jiang, Yukun and Sun, Wenbin and Niu, Weina and Wang, Peiran},
     year = {2021},
     booktitle = {2021 IEEE Global Communications Conference (GLOBECOM)},
   }

3. 

   FLPhish: Reputation-based Phishing Byzantine Defense in Ensemble Federated Learning

   Beibei Li, Peiran Wang, Hanyuan Huang, and 2 more authors

   In 2021 IEEE Symposium on Computers and Communications (ISCC), 2021

   Awarded Bib HTML

   Best Paper Award

   @inproceedings{li2021flphish,
     title = {FLPhish: Reputation-based Phishing Byzantine Defense in Ensemble Federated Learning},
     author = {Li, Beibei and Wang, Peiran and Huang, Hanyuan and Ma, Shang and Jiang, Yukun},
     year = {2021},
     booktitle = {2021 IEEE Symposium on Computers and Communications (ISCC)},
   }