WhileBug(Peiran Wang)

WhileBug(Peiran Wang)

Tsinghua University

I’m WhileBug(Peiran Wang, 王沛然), a student who is interested in System/Networking/PLSE/LLM/Dataset Distillation. I am pursuing master degree in cybersecurity in Tsinghua University. I graduated from Sichuan University in Cybersecurity Talented Class in 2022. During my undergraduate, I got National Scholarship, and got GPA of 3.92.

I organize SCU-Leap-Manual for CS/SE/Cybersecurity students in SCU, if you want to join us, please drop me an email😁.

My research interest includes distributed system, blockchain, AI security/privacy, PLSE.

🔥 News

  • 2024.07: 🎉🎉 Moderator has been accepted by ACM CCS 2024!
  • 2023.03: 🎉🎉 Welcome to my new homepage!
  • 2022.09: 🎉🎉 Start to pursue a master degree in Tsinghua University!
  • 2022.06: 🎉🎉 Graduate from Sichuan University with excellent graduate honor and excellent graduate thesis!
  • 2022.06: 🎉🎉 Finish research internship in MSRA with MSRA Star of Tomorrow Award!
  • 2022.09: 🎉🎉 Start research internship in MSRA.

📖 Educations

  • 2022.09 - 2025.04 (now), Tsinghua University, Institute of Network Sciences and Cyberspace.
  • 2018.09 - 2022.06, Sichuan University, Cybersecurity College, cybersecurity excellence class(1/18), excellent undergraduate, excellent undergraduate thesis.

💻 Experiences

  • 2024.07 - Now, ByteDance Inc., security research group, China.
  • 2024.05 - 2024.07, Baidu Inc., ACG summer camp, China.
  • 2022.06 - 2023.03, John Hopkins University, Prof.Yinzhi Cao, U.S.
  • 2022.09 - 2023.04, Tsinghua University, Internet Measurement Group, China.
  • 2022.08 - 2023.03, Purdue University, Prof.Yongle Zhang, U.S.
  • 2021.09 - 2022.06, Microsoft Research Asia, System Research Group, China.
  • 2020.09 - 2022.06, Sichuan University, Prof.Beibei Li, China.
  • 2020.05 - 2020.11, Sichuan University, Prof. Cheng Huang, China.

📝 Publications

  • Li, Beibei, Peiran Wang*, Zerui Shao, Ao Liu, Yukun Jiang, and Yizhou Li. “Defending Byzantine attacks in ensemble federated learning: A reputation-based phishing approach.” Future Generation Computer Systems 147 (2023): 136-148. \textbf{第一学生作者}
  • Li, Beibei, Peiran Wang*, Hanyuan Huang, Shang Ma, and Yukun Jiang. “FlPhish: Reputation-based phishing byzantine defense in ensemble federated learning.” In 2021 IEEE Symposium on Computers and Communications (ISCC), pp. 1-6. IEEE, 2021. \textbf{第一学生作者}
  • Li, Beibei, Yukun Jiang, Wenbin Sun, Weina Niu, and Peiran Wang. “Fedvanet: Efficient federated learning with non-iid data for vehicular ad hoc networks.” In 2021 IEEE Global Communications Conference (GLOBECOM), pp. 1-6. IEEE, 2021.
  • Peiran Wang, Yuqiang Sun, Cheng Huang, Yutong Du, Genpei Liang, and Gang Long. “Minedetector: Javascript browser-side cryptomining detection using static methods.” In 2021 IEEE 24th International Conference on Computational Science and Engineering (CSE), pp. 87-93. IEEE, 2021.
  • Li, Beibei, Zerui Shao, Ao Liu, and Peiran Wang. “FedCliP: Federated learning with client pruning.” arXiv preprint arXiv:2301.06768 (2023).
  • Jiang, Nan, Jessie Hui Wang, Jilong Wang, and Peiran Wang. “Top AS Router Geolocation in Databases: Performance and Techniques.” In GLOBECOM 2023-2023 IEEE Global Communications Conference, pp. 2117-2122. IEEE, 2023.
  • Jiang, Nan, Jessie Hui Wang, Jilong Wang, and Peiran Wang. “TinyG: Accurate IP Geolocation Using a Tiny Number of Probers.” In 2023 19th International Conference on Network and Service Management (CNSM), pp. 1-9. IEEE, 2023.
  • Peiran Wang, Qiyu Li, Longxuan Yu, Ziyao Wang, Ang Li, Haojian Jin. “Moderator: Moderating Text-to-Image Diffusion Models through Fine-grained Context-based Policies.” In 31st ACM Conference on Computer and Communications Security (CCS), 2024.
  • Peiran Wang, Xiaogeng Liu, Chaowei Xiao, “RePD: Defending Jailbreak Attack through a Retrieval-based Prompt Decomposition Process.” In 1st Conference on Language Modeling (COLM), 2024.
  • Peiran Wang. “FedChain: An Efficient and Secure Consensus Protocol based on Proof of Useful Federated Learning for Blockchain.” arXiv preprint arXiv:2308.15095 (2023).
  • Xuechao Chen, Wenchao Meng, Peiran Wang, and Qihang Zhou, Distributed Boosting: An Enhancing Method on Dataset Distillation, CIKM 2024 (33rd ACM International Conference on Information and Knowledge Management).

In submission

  • Peiran Wang, Xiaogeng Liu, Fangzhou Wu, Yulong Cao, Yizhe Zhang, Lichao Sun, Chaowei Xiao, “CVE-Bench: Benchmarking LLM-based Software Engineering Agent’s Ability to Repair Real-World CVE Vulnerabilities.” In the 38th Conference on Neural Information Processing Systems Datasets and Benchmarks Track, 2024.
  • Peiran Wang, Haohan Wang, “DistDD: Distributed Data Distillation Aggregation through Gradient Matching.” in submission to AAAI, 2025.
  • Yukun Jiang, Peiran Wang*, “SecDT: Mitigating Label Leakage in Two-Party Split Learning.” in submission to AAAI, 2025.
  • Zerui Shao, Beibei Li, Peiran Wang, Wenshan Li, Yi Zhang, “FedUFD: Uncertainty-Driven Feature Distillation for Heterogeneous Federated Learning.” In ACM Multimedia 2024.
  • Peiran Wang, Xiaogeng Liu, Fangzhou Wu, Yizhe Zhang, Chaowei Xiao, “Trojan the Agent: Attack LLM-based Agent Code Interaction using Malicious Commands Injection.” In Trustworthy Multi-modal Foundation Models and AI Agents (TiFA), 2024.
  • Zerui Shao, Beibei Li, Peiran Wang, Yi Zhang, Kim-Kwang Choo, FedLoRE: Communication-Efficient and Personalized Edge Intelligence Framework via Federated Low-Rank Estimation, IEEE Transactions on Parallel and Distributed Systems.
  • Eric Xue, Yijiang Li, Haoyang Liu, Peiran Wang, Yifan Shen, Haohan Wang, Towards Adversarially Robust Condensed Dataset by Curvature Regularization, in submission to AAAI, 2025.
  • Haoyang Liu, Peiran Wang, Tiancheng Xing, Yijiang Li, Vibhu Dalal, Luwei LI, Jingrui He, Haohan Wang, Haohan Wang, Dataset Distillation via the Wasserstein Metric, in submission to AAAI, 2025.

🎖 Honors and Awards

  • 2022.08 Outstanding Undergraduate Thesis @SCU
  • 2022.06 Microsoft Research Asia Star of Tomorrow Award @MSRA
  • 2022.06 Outstanding Undergraduate Graduates @SCU
  • 2019.08 National Scholarship (for top 0.2% students in China) @National Ministry of Education
  • 2019.08 Sichuan University First Class Scholarship @SCU
  • 2021.09 26th IEEE Symposium on Computers and Communications (ISCC 2021) Best Paper Award @IEEE ISCC

💬 Invited Talks

📰 Academic Services

  • Reviewer: IEEE TIFS
  • External Reviewer: IEEE KSEM, IEEE ICC, AAAI

💃🏻 Friends