2025
FedLoRE: Communication-Efficient and Personalized Edge Intelligence Framework via Federated Low-Rank Estimation
Zerui Shao, Beibei Li, Peiran Wang, Yi Zhang, Kim-Kwang Raymond Choo
IEEE Transactions on Parallel and Distributed Systems 2025
FedLoRE: Communication-Efficient and Personalized Edge Intelligence Framework via Federated Low-Rank Estimation
Zerui Shao, Beibei Li, Peiran Wang, Yi Zhang, Kim-Kwang Raymond Choo
IEEE Transactions on Parallel and Distributed Systems 2025
RePD: Defending Jailbreak Attacks Through a Retrieval-based Prompt Decomposition Process
Peiran Wang, Xiaogeng Liu, Chaowei Xiao
2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics 2025
RePD: Defending Jailbreak Attacks Through a Retrieval-based Prompt Decomposition Process
Peiran Wang, Xiaogeng Liu, Chaowei Xiao
2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics 2025
CVE-Bench: Benchmarking LLM-based Software Engineering Agent’s Ability to Repair Real-World CVE Vulnerabilities
Peiran Wang, Xiaogeng Liu, Chaowei Xiao
2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics 2025
CVE-Bench: Benchmarking LLM-based Software Engineering Agent’s Ability to Repair Real-World CVE Vulnerabilities
Peiran Wang, Xiaogeng Liu, Chaowei Xiao
2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics 2025
FedUFD: Uncertainty-Driven Feature Distillation for Heterogeneous Federated Learning
Zerui Shao, Beibei Li, Zhibo Wang, Yanbing Yang, Peiran Wang, Jun Luo
IEEE International Conference on Computer Communications (INFOCOM) 2025
FedUFD: Uncertainty-Driven Feature Distillation for Heterogeneous Federated Learning
Zerui Shao, Beibei Li, Zhibo Wang, Yanbing Yang, Peiran Wang, Jun Luo
IEEE International Conference on Computer Communications (INFOCOM) 2025
Split-and-Privatize Framework for Large Language Model Fine-Tuning
Xicong Shen, Yang Liu, Huiqi Liu, Jue Hong, Bing Duan, Zirui Huang, Yunlong Mao, Ye Wu, Di Wu
34th International Joint Conference on Artificial Intelligence (IJCAI) 2025
Split-and-Privatize Framework for Large Language Model Fine-Tuning
Xicong Shen, Yang Liu, Huiqi Liu, Jue Hong, Bing Duan, Zirui Huang, Yunlong Mao, Ye Wu, Di Wu
34th International Joint Conference on Artificial Intelligence (IJCAI) 2025
Dataset Distillation via the Wasserstein Metric
Haoyang Liu, Yijiang Li, Tiancheng Xing, Peiran Wang, Vibhu Dalal, Luwei Li, Jingrui He, Haohan Wang
International Conference on Computer Vision 2025
Dataset Distillation via the Wasserstein Metric
Haoyang Liu, Yijiang Li, Tiancheng Xing, Peiran Wang, Vibhu Dalal, Luwei Li, Jingrui He, Haohan Wang
International Conference on Computer Vision 2025
What Are Models Thinking About? Understanding Large Language Model Hallucinations “Psychology” Through Model Inner State Analysis
Peiran Wang, Yang Liu, Yunfei Lu, Jue Hong, Ye Wu
Arxiv 2025
What Are Models Thinking About? Understanding Large Language Model Hallucinations “Psychology” Through Model Inner State Analysis
Peiran Wang, Yang Liu, Yunfei Lu, Jue Hong, Ye Wu
Arxiv 2025
From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models
Haibo Jin, Peiyan Zhang, Peiran Wang, Man Luo, Haohan Wang
Arxiv 2025
From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models
Haibo Jin, Peiyan Zhang, Peiran Wang, Man Luo, Haohan Wang
Arxiv 2025
Large Language Model-based Data Science Agent: A Survey
Peiran Wang, Yaoning Yu, Ke Chen, Xianyang Zhan, Haohan Wang
Arxiv 2025
Large Language Model-based Data Science Agent: A Survey
Peiran Wang, Yaoning Yu, Ke Chen, Xianyang Zhan, Haohan Wang
Arxiv 2025
AgentArmor: Enforcing Program Analysis on Agent Runtime Trace to Defend Against Prompt Injection
Peiran Wang, Yang Liu, Yunfei Lu, Yifeng Cai, Hongbo Chen, Qingyou Yang, Jie Zhang, Jue Hong, Ye Wu
Arxiv 2025
AgentArmor: Enforcing Program Analysis on Agent Runtime Trace to Defend Against Prompt Injection
Peiran Wang, Yang Liu, Yunfei Lu, Yifeng Cai, Hongbo Chen, Qingyou Yang, Jie Zhang, Jue Hong, Ye Wu
Arxiv 2025
Towards Adversarially Robust Condensed Dataset by Curvature Regularization
Eric Xue, Yijiang Li, Haoyang Liu, Peiran Wang, Yifan Shen, Haohan Wang
The 39th Annual AAAI Conference on Artificial Intelligence 2025
Towards Adversarially Robust Condensed Dataset by Curvature Regularization
Eric Xue, Yijiang Li, Haoyang Liu, Peiran Wang, Yifan Shen, Haohan Wang
The 39th Annual AAAI Conference on Artificial Intelligence 2025
2024
Distributed Boosting: An Enhancing Method on Dataset Distillation
Xuechao Chen, Wenchao Meng, Peiran Wang, Qihang Zhou
33rd ACM International Conference on Information and Knowledge Management (CIKM) 2024
Distributed Boosting: An Enhancing Method on Dataset Distillation
Xuechao Chen, Wenchao Meng, Peiran Wang, Qihang Zhou
33rd ACM International Conference on Information and Knowledge Management (CIKM) 2024
Moderator: Moderating Text-to-Image Diffusion Models through Fine-grained Context-based Policies
Peiran Wang, Qiyu Li, Longxuan Yu, Ziyao Wang, Ang Li, Haojian Jin
31st ACM Conference on Computer and Communications Security (CCS) 2024
Moderator: Moderating Text-to-Image Diffusion Models through Fine-grained Context-based Policies
Peiran Wang, Qiyu Li, Longxuan Yu, Ziyao Wang, Ang Li, Haojian Jin
31st ACM Conference on Computer and Communications Security (CCS) 2024
SecDT: Mitigating Label Leakage in Two-Party Split Learning
Yukun Jiang, Peiran Wang, Chengguo Lin, Ziyue Huang, Yong Cheng
Arxiv 2024
SecDT: Mitigating Label Leakage in Two-Party Split Learning
Yukun Jiang, Peiran Wang, Chengguo Lin, Ziyue Huang, Yong Cheng
Arxiv 2024
Prompt Injection Benchmark for Foundation Model Integrated Systems
Jiongxiao Wang, Peiran Li, Siyuan Ma, Peiran Wang, Xiaogeng Liu, Jiashuo Sun, Yiming Liang, Tian Xia, Yu Wang, Weidi Luo, Chaowei Xiao
Arxiv 2024
Prompt Injection Benchmark for Foundation Model Integrated Systems
Jiongxiao Wang, Peiran Li, Siyuan Ma, Peiran Wang, Xiaogeng Liu, Jiashuo Sun, Yiming Liang, Tian Xia, Yu Wang, Weidi Luo, Chaowei Xiao
Arxiv 2024
DistDD: Distributed Data Distillation Aggregation Through Gradient Matching
Peiran Wang, Haohan Wang
Arxiv 2024
DistDD: Distributed Data Distillation Aggregation Through Gradient Matching
Peiran Wang, Haohan Wang
Arxiv 2024
Astra: Efficient and Money-saving Automatic Parallel Strategies Search on Heterogeneous GPUs
Peiran Wang, Haibing Li, Fu Haohan, Shiyong Li, Yanpeng Wang, Dou Shen
Arxiv 2024
Astra: Efficient and Money-saving Automatic Parallel Strategies Search on Heterogeneous GPUs
Peiran Wang, Haibing Li, Fu Haohan, Shiyong Li, Yanpeng Wang, Dou Shen
Arxiv 2024
2023
Top AS Router Geolocation in Databases: Performance and Techniques
Nan Jiang, Jessie Hui Wang, Jilong Wang, Peiran Wang
Future Generation Computer Systems 2023
Top AS Router Geolocation in Databases: Performance and Techniques
Nan Jiang, Jessie Hui Wang, Jilong Wang, Peiran Wang
Future Generation Computer Systems 2023
TinyG: Accurate IP Geolocation Using a Tiny Number of Probers
Nan Jiang, Jessie Hui Wang, Jilong Wang, Peiran Wang
2023 19th International Conference on Network and Service Management 2023
TinyG: Accurate IP Geolocation Using a Tiny Number of Probers
Nan Jiang, Jessie Hui Wang, Jilong Wang, Peiran Wang
2023 19th International Conference on Network and Service Management 2023
FedCliP: Federated Learning with Client Pruning
Beibei Li, Zerui Shao, Ao Liu, Peiran Wang
Arxiv 2023
FedCliP: Federated Learning with Client Pruning
Beibei Li, Zerui Shao, Ao Liu, Peiran Wang
Arxiv 2023
DistPlanS: Automating Execution Planning for Distributed Deep Neural Networks
Peiran Wang, Rongwei Lu, Zhi Wang
Arxiv 2023
DistPlanS: Automating Execution Planning for Distributed Deep Neural Networks
Peiran Wang, Rongwei Lu, Zhi Wang
Arxiv 2023
2022
Defending Byzantine Attacks in Ensemble Federated Learning: A Reputation-based Phishing Approach
Beibei Li, Peiran Wang, Zerui Shao, Ao Liu, Yukun Jiang, Yizhou Li
Future Generation Computer Systems 2022
Defending Byzantine Attacks in Ensemble Federated Learning: A Reputation-based Phishing Approach
Beibei Li, Peiran Wang, Zerui Shao, Ao Liu, Yukun Jiang, Yizhou Li
Future Generation Computer Systems 2022
2021
FLPhish: Reputation-based Phishing Byzantine Defense in Ensemble Federated Learning
Beibei Li, Peiran Wang, Hanyuan Huang, Shang Ma, Yukun Jiang
2021 IEEE Symposium on Computers and Communications (ISCC) 2021
FLPhish: Reputation-based Phishing Byzantine Defense in Ensemble Federated Learning
Beibei Li, Peiran Wang, Hanyuan Huang, Shang Ma, Yukun Jiang
2021 IEEE Symposium on Computers and Communications (ISCC) 2021
FedVANet: Efficient Federated Learning with Non-IID Data for Vehicular Ad Hoc Networks
Beibei Li, Yukun Jiang, Wenbin Sun, Weina Niu, Peiran Wang
2021 IEEE Global Communications Conference (GLOBECOM) 2021
FedVANet: Efficient Federated Learning with Non-IID Data for Vehicular Ad Hoc Networks
Beibei Li, Yukun Jiang, Wenbin Sun, Weina Niu, Peiran Wang
2021 IEEE Global Communications Conference (GLOBECOM) 2021
MineDetector: JavaScript Browser-side Cryptomining Detection Using Static Methods
Peiran Wang, Yuqiang Sun, Cheng Huang, Yutong Du, Genpei Liang, Gang Long
2021 IEEE 24th International Conference on Computational Science and Engineering 2021
MineDetector: JavaScript Browser-side Cryptomining Detection Using Static Methods
Peiran Wang, Yuqiang Sun, Cheng Huang, Yutong Du, Genpei Liang, Gang Long
2021 IEEE 24th International Conference on Computational Science and Engineering 2021