Peiran Wang
Logo Ph.D. Student in CS
ByteDance Research Intern

I'm Peiran Wang (王沛然 in Chinese, you can speak as "Pay-than, Wang"), a student who is interested in AI Security (especially security for LLM recently), Machine Learning System, and AI for security (mainly for PLSE, etc). I am an incoming CS PhD student in UCLA. I graduated from Sichuan University in Cybersecurity Talented Class in 2022 (18/172). During my undergraduate, I got National Scholarship (3/172), and got GPA of 3.92 (rank 2/172).


Education
  • University of California, Los Angeles
    University of California, Los Angeles
    Department of Computer Science
    Ph.D. Student
    Sep. 2025 - present
  • Tsinghua University
    Tsinghua University
    Master in Cybersecurity
    Sep. 2022 - Jul. 2025
  • Sichuan University
    Sichuan University
    Bachelor in Cybersecurity
    Sep. 2018 - Jul. 2022
Experience
  • ByteDance Inc.
    ByteDance Inc.
    Research Intern
    Mar. 2025 - Aug. 2025
  • University of Wisconsin–Madison SaFoLab
    University of Wisconsin–Madison SaFoLab
    Research Intern
    Aug. 2024 - Mar. 2025
  • ByteDance Inc.
    ByteDance Inc.
    Research Intern
    Jul. 2024 - Jan. 2025
  • Baidu Inc.
    Baidu Inc.
    Research Intern
    May. 2024 - Jul. 2024
  • University of Illinois Urbana-Champaign Dream Lab
    University of Illinois Urbana-Champaign Dream Lab
    Research Intern
    Sep. 2024 - Mar. 2025
  • University of California San Diego DataSmith Lab
    University of California San Diego DataSmith Lab
    Research Intern
    May. 2023 - Feb. 2024
  • Future Capital
    Future Capital
    Investment Intern
    May. 2023 - Aug. 2023
  • Microsoft Research Asia
    Microsoft Research Asia
    Research Intern
    Aug. 2021 - Jun. 2022
  • Sichuan University Beck Lab
    Sichuan University Beck Lab
    Research Assistant
    May. 2020 - Jun. 2022
  • Sichuan University CodeSec Lab
    Sichuan University CodeSec Lab
    Research Assistant
    May. 2020 - Jun. 2022
Honors & Awards
  • CCS Distinguished Paper Award
    2024
  • Star of Tomorrow, Microsoft Research Asia
    2022
  • ISCC Best Paper Award
    2021
  • National Scholarship
    2019
  • Sichuan University 1st Level Scholarship
    2019
News
2025
Get PhD offer from CS@UCLA
Mar 30
Finish the research internship in ByteDance
Jan 22
2024
Moderator is awarded CCS Distinguished Paper Award @ CCS 2024
Oct 19
Finish the research internship in Baidu
Jul 28
2022
Finish the research internship in MSRA
Jun 11
2021
FLPhish is awarded with Best Paper Award in ISCC-2021
Sep 05
Selected Publications (view all )
What Are Models Thinking About? Understanding Large Language Model Hallucinations “Psychology” Through Model Inner State Analysis
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

Large Language Model-based Data Science Agent: A Survey
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
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

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

All publications