Peiran Wang

Orcid: 0009-0008-0493-7542

According to our database1, Peiran Wang authored at least 25 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
Large Language Model-based Data Science Agent: A Survey.
CoRR, August, 2025

AgentArmor: Enforcing Program Analysis on Agent Runtime Trace to Defend Against Prompt Injection.
CoRR, August, 2025

FedLoRE: Communication-Efficient and Personalized Edge Intelligence Framework via Federated Low-Rank Estimation.
IEEE Trans. Parallel Distributed Syst., May, 2025

From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models.
CoRR, May, 2025

What are Models Thinking about? Understanding Large Language Model Hallucinations "Psychology" through Model Inner State Analysis.
CoRR, February, 2025

Astra: Efficient and Money-saving Automatic Parallel Strategies Search on Heterogeneous GPUs.
CoRR, February, 2025

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models.
CoRR, February, 2025

CVE-Bench: Benchmarking LLM-based Software Engineering Agent's Ability to Repair Real-World CVE Vulnerabilities.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

RePD: Defending Jailbreak Attack through a Retrieval-based Prompt Decomposition Process.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

FedUFD: Personalized Edge Computing Using Federated Uncertainty-Driven Feature Distillation.
Proceedings of the IEEE INFOCOM 2025, 2025

Towards Adversarially Robust Dataset Distillation by Curvature Regularization.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Training on Fake Labels: Mitigating Label Leakage in Split Learning via Secure Dimension Transformation.
CoRR, 2024

DistDD: Distributed Data Distillation Aggregation through Gradient Matching.
CoRR, 2024

Distributed Boosting: An Enhancing Method on Dataset Distillation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Moderator: Moderating Text-to-Image Diffusion Models through Fine-grained Context-based Policies.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023
Defending Byzantine attacks in ensemble federated learning: A reputation-based phishing approach.
Future Gener. Comput. Syst., 2023

FedChain: An Efficient and Secure Consensus Protocol based on Proof of Useful Federated Learning for Blockchain.
CoRR, 2023

FedCliP: Federated Learning with Client Pruning.
CoRR, 2023

Predictive Machine Learning Models of Methane Emissions Using Farm Environmental Data.
Proceedings of the 5th International Conference on Internet of Things, 2023

Top AS Router Geolocation in Databases: Performance and Techniques.
Proceedings of the IEEE Global Communications Conference, 2023

TinyG: Accurate IP Geolocation Using a Tiny Number of Probers.
Proceedings of the 19th International Conference on Network and Service Management, 2023

2021
Systems analysis of the "weights" of Bcl-2 and Mcl-1 in mitochondrial apoptosis pathway establishes a predictor for best drug combination ratio.
Quant. Biol., September, 2021

FLPhish: Reputation-based Phishing Byzantine Defense in Ensemble Federated Learning.
Proceedings of the IEEE Symposium on Computers and Communications, 2021

FedVANET: Efficient Federated Learning with Non-IID Data for Vehicular Ad Hoc Networks.
Proceedings of the IEEE Global Communications Conference, 2021

MineDetector: JavaScript Browser-side Cryptomining Detection using Static Methods.
Proceedings of the 24th IEEE International Conference on Computational Science and Engineering, 2021


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