Jiacen(Jason) Xu
嘉涔 徐
I am a fifth-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 was a Research Intern at Microsoft Research in 2023 and at IBM Research in 2024.
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:).
I am on the job market! Let me know if you think I am a good fit for your team!
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Blogs
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News
- [2024-06] Started my summer internship in IBM Research at Yorktown Heights, NY.
- [2024-05] Gave a talk on UCI ICS Security Seminar.
- [2024-05] Gave a poster presetation on UCI Worhshop on the Future of AI and Cloud Computing 2024.
- [2024-04] Received the IEEE S&P 2024 Student Travel Grant.
- [2024-03] Worked as the Teaching Assistant for ECPS207 by Prof. Ian Harris.
- [2024-01] Received the NDSS 2024 Student Travel Grant.
- [2023-11] Invited to give a Security Pillar Seminar Series talk to IBM Research about "Understanding and Bridging the Gap Between Unsupervised Network Representation Learning and Security Analytics".
- [2023-09] Nomiated to serve Usenix Security 2024 Artifact Evaluation Committee (AEC).
- [2023-07] One paper accepted by S&P 2024.
- [2023-06] Started my summer internship in Microsoft Research at Redmond, WA.
- [2023-06] Nomiated to serve NDSS 2024 Artifact Evaluation Committee (AEC).
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Experience
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[2024-06~2024-09] Research Intern at IBM Research, Mentors: Kapil Singh, Sunil Manandhar; Manager: Fred Araujo. |
[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. |
Service
- Journal Reviewer:
- ACM Transactions on Intelligent Systems and Technology
- External Reviewer:
- NDSS: 2024, 2023, 2022, 2021
- AsiaCCS: 2022, 2021
- ECPS 207 Security and Privacy Issues in CPS, Teaching Assistant, Teacher: Prof. Ian G. Harris: 2024 Spring Quarter
- ICS175 Projects in AI (in Adversarial ML), Reserach Assistant, Teacher: Prof. Sameer Singh: Project / Website
- 2022 Spring Quarter
- 2022 Winter Quarter
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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.
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Conference
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Understanding and Bridging the Gap Between Unsupervised Network Representation Learning and Security Analytics
Jiacen Xu, Xiaokui Shu and Zhou Li
IEEE Security & Privacy, 2024
Paper /
Code /
Blog
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On Adversarial Robustness of Point Cloud Semantic Segmentation
Jiacen Xu, Zhe Zhou, Boyuan Feng, Yufei Ding and Zhou Li
IEEE/IFIP DSN, 2023
Paper /
Code /
Blog
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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
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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
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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
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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
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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
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Last update: Sep-9-2024 and great thanks to Jon Barron for the template.
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