Jiacen(Jason) Xu

嘉涔 徐

I am a fourth-year Ph.D. candidate in DSP Lab, Department of Electrical Engineering and Computer Science at University of California, Irvine. My advisor is Prof. Zhou Li.

I received my B.S. and Master degree at Shanghai Jiao Tong University and got Outstanding Undergraduate in 2017 and Outstanding Graduate in 2020.

I am open to discuss anything related to my research interests. If you want to share ideas or get cooperation, please email me without hesitation:).

Email  /  Github  /  Google Scholar  /  Linkedln  /  Twitter  /  Blogs

profile photo
News
Experience
[2023-06~2023-09] Research Intern at Microsoft Research, Redmond, WA. Mentors: Jay Stokes, Geoff McDonald, David Marshall, Siyue Wang, and Adith Swaminathan.
[2021-07~2021-10] Research Assistant at the Chinese University of Hong Kong, Mentor: Prof. Kehuan Zhang.
[2020-09~2021-06] Visitor at Fudan University, Mentor: Prof. Zhe Zhou.
[2019-03~2020-02] Research Intern at University of Illinois at Urbana-Champaign, Mentor: Prof. Bo Li.
[2018-06~2018-09] Research Intern at Platina Systems at Santa Clara, Mentors: Sharad Mehrotra and Ramana Gopal.
Awards & Certificates
Service
  • Organizing Committee:
  • External Reviewer:
    • NDSS: 2024, 2023, 2022, 2021
    • AsiaCCS: 2022, 2021
  • ICS175 Projects in AI (in Adversarial ML), Reserach Assistant, Teacher: Prof. Sameer Singh: Project / Website
    • 2022 Spring Quarter
    • 2022 Winter Quarter
Research

My research interests include Large Language Model-driven Security Applications and Graph Security Analysis. Much of my research is about inferring the physical world and real world applications. Representative papers are highlighted.

Conference
Understanding and Bridging the Gap Between Unsupervised Network Representation Learning and Security Analytics
Jiacen Xu, Xiaokui Shu and Zhou Li
Security & Privacy, 2024
Paper / Code / Blog

On Adversarial Robustness of Point Cloud Semantic Segmentation
Jiacen Xu, Zhe Zhou, Boyuan Feng, Yufei Ding and Zhou Li
DSN, 2023
Paper / Code / Blog

PROGRAPHER: An Anomaly Detection System based on Provenance Graph Embedding
Fan Yang, Jiacen Xu, Chunlin Xiong, Zhou Li and Kehuan Zhang
Usenix Security, 2023
Paper

Maestro: A Gamified Platform for Teaching AI Robustness
Margarita Geleta, Jiacen Xu, Manikanta Loya, Junlin Wang, Sameer Singh, Zhou Li and Sergio Gago Masague
EAAI, 2023
arXiv / Website / Code

HOMESPY: The Invisible Sniffer of Infrared Remote Control of Smart TVs
Kong Huang, YuTong Zhou, Ke Zhang, Jiacen Xu, Jiongyi Chen, Di Tang, Kehuan Zhang
Usenix Security, 2023
Paper

Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?
Ruoxi Jia, Fan Wu*, Xuehui Sun*, Jiacen Xu*, David Dao, Bhavya Kailkhura, Ce Zhang, Bo Li, Dawn Song (*= Equal Contribution)
CVPR, 2021
arXiv / Project

Towards a unified min-max framework for adversarial exploration and robustness
Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li
NeurIPS, 2021
arXiv


Last update: Feb-06-2023 and great thanks to Jon Barron for the template.