I am an undergraduate student in Information Security at the School of Computer Science and Technology, Tongji University. My research focuses on AI security, LLM, and graph representation learning. I previously worked with Prof. Cheng’s Financial Big Data Lab, where I took my first steps into research and contributed as a second author on a paper submitted to TKDE (a CCF-A journal), co-developing a fraud detection framework with generative graph representations.

πŸ”₯ News

  • 2025.05: Β πŸŽ‰πŸŽ‰ Proposed a VAE-based IPv6 active address prediction framework, enabling efficient large-scale network scanning.
  • 2024.11: Β πŸŽ‰πŸŽ‰ Developed an adversarial attack pipeline for facial recognition systems with masked momentum PGD, achieving controllable perturbation generation.

πŸ“ Publications

TKDE 2025
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Defending Attacks on Anti-fraud Model with Generative Graph Representations

Jiasheng Wu, Xincheng Wang, Dawei Cheng et al.

Project

  • Proposed GSRGNN framework with generative feature reconstruction and structural enhancement modules
  • Achieved dual defense against local adversarial perturbations through adaptive fusion mechanism
  • Demonstrated SOTA robustness on Web Chat Pay and commercial datasets

πŸŽ– Honors and Awards

  • 2024.12 National Endeavor Scholarship
  • 2024.12 Tongji University Outstanding Student Scholarship (Second Class)
  • 2023.12 National Endeavor Scholarship
  • 2024.11 The 8th in the finals, AI Security Track - 7th StrongNet Mimic Defense International Challenge
  • 2024.03 Provincial 2nd Prize, C++ Group - 16th Lanqiao Cup Programming Contest

πŸ“– Educations

πŸ’» Internships

  • 2024.09 - Present Research Assistant, Financial Big Data Lab, Tongji University
    Advisor: Prof. Dawei Cheng | Focus: Graph-based Anti-fraud Systems